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Note: To accommodate the large number of attendees, some sessions will be livestreamed into multiple rooms. For sessions listed with multiple rooms, the first room will have the actual presentations & the rest will show a live-streamed feed of the presentations.


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Wednesday, October 31 2018
Morning Tutorials
09:00 – 12:30

[T1] Joint Models for NLP. Yue Zhang.
Gold Hall
[T2] Graph Formalisms for Meaning Representations. Adam Lopez and Sorcha Gilroy.
Hall 100
12:30 – 14:00
Afternoon Tutorials
14:00 – 17:30

[T3] Writing Code for NLP Research. Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie.
Gold Hall
Workshops & Co-located Events
08:30 – 18:00

[W1] WMT18: The Third Conference on Machine Translation (Day 1).
Bozar Hall (Salle M)
[W2] CoNLL: The Conference on Computational Natural Language Learning (Day 1).
Copper Hall / Studio 311 – 312
[W3] LOUHI: The Ninth International Workshop on Health Text Mining and Information Analysis.
The Arc
[W4] ALW2: Second Workshop on Abusive Language Online.
Studio 211 – 212
[W5] SCAI: Search-Oriented Conversational AI.
Silver Hall / Studio 313 – 315
[W6] SIGMORPHON: Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Studio 213 – 215
[W7] WASSA: 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis.
Hall 400
[W8] SMM4H: 3rd Workshop on Social Media Mining for Health Applications Workshop & Shared Task.
Studio 201A/B
Thursday, November 1 2018
Morning Tutorials
09:00 – 12:30

[T4] Deep Latent Variable Models of Natural Language. Alexander Rush, Yoon Kim, and Sam Wiseman.
Gold Hall
[T5] Standardized Tests as benchmarks for Artificial Intelligence. Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing.
Hall 400
12:30 – 14:00
Afternoon Tutorials
14:00 – 17:30

[T6] Deep Chit-Chat: Deep Learning for ChatBots. Wei Wu and Rui Yan.
Gold Hall
Workshops & Co-located Events
09:00 – 17:00

[W1] WMT18: The Third Conference on Machine Translation (Day 2).
Bozar Hall (Salle M)
[W2] CoNLL: The Conference on Computational Natural Language Learning (Day 2).
Copper Hall / Studio 311 – 312
[W9] BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering.
Studio 313 – 315
[W10] BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP.
Silver Hall / Hall 100
[W11] FEVER: First Workshop on Fact Extraction and VERification.
The Arc
[W12] ARGMINING: 5th International Workshop on Argument Mining.
Studio 213 – 215
[W13] W-NUT: 4th Workshop on Noisy User-generated Text.
Panoramic Hall
[W14] UDW-18: Second Workshop on Universal Dependencies.
Studio 201A/B
Welcome Reception
18:00 – 20:00
Grand Hall

Catch up with your colleagues at the Welcome Reception! It will be held immediately following the tutorials on Thursday, November 1st.
Appetizers and refreshments will be provided.

Friday, 2 November 2018
Opening remarks
09:00 – 09:30
Gold Hall / Copper Hall / Silver Hall / Hall 100
Keynote I: "Truth or Lie? Spoken Indicators of Deception in Speech"
Julia Hirschberg (Columbia University)
09:30 – 10:30
Gold Hall / Copper Hall / Silver Hall / Hall 100

Detecting deception from various forms of human behavior is a longstanding research goal which is of considerable interest to the military, law enforcement, corporate security, social services and mental health workers. However, both humans and polygraphs are very poor at this task. We describe more accurate methods we have developed to detect deception automatically from spoken language. Our classifiers are trained on the largest cleanly recorded corpus of within-subject deceptive and non-deceptive speech that has been collected. To distinguish truth from lie we make use of acoustic-prosodic, lexical, demographic, and personality features. We further examine differences in deceptive behavior based upon gender, personality, and native language (Mandarin Chinese vs. English), comparing our systems to human performance. We extend our studies to identify cues in trusted speech vs. mistrusted speech and how these features differ by speaker and by listener. Why does a listener believe a lie?

Coffee Break
10:30 – 11:00
Long Papers & Demos I (Orals & Posters)
1A: Social Applications I
11:00 – 12:30
Gold Hall

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Chair: Dirk Hovy
11:00–11:18 Privacy-preserving Neural Representations of Text. Maximin Coavoux, Shashi Narayan and Shay B. Cohen  
11:18–11:36 Adversarial Removal of Demographic Attributes from Text Data. Yanai Elazar and Yoav Goldberg  
11:36–11:54 DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. Kashyap Popat, Subhabrata Mukherjee, Andrew Yates and Gerhard Weikum  
11:54–12:12 It's going to be okay: Measuring Access to Support in Online Communities. Zijian Wang and David Jurgens  
12:12–12:30 Detecting Gang-Involved Escalation on Social Media Using Context. Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William Frey, Chris Kedzie and Kathy McKeown  
1B: Semantics I
11:00 – 12:30
Copper Hall

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Chair: Natalie Schluter
11:00–11:18 Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut and Peter Clark  
11:18–11:36 Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White and Benjamin Van Durme  
11:36–11:54 Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. Matthew Lamm, Arun Chaganty, Christopher D. Manning, Dan Jurafsky and Percy Liang  
11:54–12:12 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. Rowan Zellers, Yonatan Bisk, Roy Schwartz and Yejin Choi  
12:12–12:30 TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. Wenpeng Yin and Dan Roth  
1C: Vision
11:00 – 12:30
Silver Hall / Panoramic Hall

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Chair: Grzegorz Chrupała
11:00–11:18 Associative Multichannel Autoencoder for Multimodal Word Representation. Shaonan Wang, Jiajun Zhang and Chengqing Zong  
11:18–11:36 Game-Based Video-Context Dialogue. Ramakanth Pasunuru and Mohit Bansal  
11:36–11:54 simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang and Xu Sun  
11:54–12:12 Multimodal Language Analysis with Recurrent Multistage Fusion. Paul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh and Louis-Philippe Morency  
12:12–12:30 Temporally Grounding Natural Sentence in Video. Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie and Tat-Seng Chua  
1D: Entities & Coreference
11:00 – 12:30
Hall 100 / Hall 400

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Chair: Eduardo Blanco
11:00–11:18 PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille and Shu Rong  
11:18–11:36 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu  
11:36–11:54 Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. Nafise Sadat Moosavi and Michael Strube  
11:54–12:12 Neural Segmental Hypergraphs for Overlapping Mention Recognition. Bailin Wang and Wei Lu  
12:12–12:30 Variational Sequential Labelers for Semi-Supervised Learning. Mingda Chen, Qingming Tang, Karen Livescu and Kevin Gimpel  
1E: Machine Translation & Multilingual Methods (Posters and Demos)
11:00 – 12:30
Grand Hall

Multilingual Methods
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen and Tiansi Dong  
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance. Yftah Ziser and Roi Reichart  
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding. Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji and Kevin Knight  
Unsupervised Multilingual Word Embeddings. Xilun Chen and Claire Cardie  
CLUSE: Cross-Lingual Unsupervised Sense Embeddings. Ta Chung Chi and Yun-Nung Chen  
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Nikola Mrkšić and Anna Korhonen  
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. Yerai Doval, Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert  
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. Manaal Faruqui, Ellie Pavlick, Ian Tenney and Dipanjan Das  
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling. Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart and Anna Korhonen  
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge and David Weiss  
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning. Weichao Wang, Shi Feng, Wei Gao, Daling Wang and Yifei Zhang  
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. Zhichun Wang, Qingsong Lv, Xiaohan Lan and Yu Zhang  
Cross-lingual Lexical Sememe Prediction. Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie and Zhiyuan Liu  
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith and Jaime Carbonell  
Machine Translation
A Stable and Effective Learning Strategy for Trainable Greedy Decoding. Yun Chen, Victor O.K. Li, Kyunghyun Cho and Samuel Bowman  
Addressing Troublesome Words in Neural Machine Translation. Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong and Hua Wu  
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. Jetic Gū, Hassan S. Shavarani and Anoop Sarkar  
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang  
Contextual Parameter Generation for Universal Neural Machine Translation. Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell  
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. Marzieh Fadaee and Christof Monz  
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin and Jianqiang Zhao  
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva and Anders Søgaard  
Non-Adversarial Unsupervised Word Translation. Yedid Hoshen and Lior Wolf  
Semi-Autoregressive Neural Machine Translation. Chunqi Wang, Ji Zhang and Haiqing Chen  
Understanding Back-Translation at Scale. Sergey Edunov, Myle Ott, Michael Auli and David Grangier  
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. Shyam Upadhyay, Jordan Kodner and Dan Roth  
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings. Ndapa Nakashole  
Adaptive Multi-pass Decoder for Neural Machine Translation. Xinwei Geng, Xiaocheng Feng, Bing Qin and Ting Liu  
Improving the Transformer Translation Model with Document-Level Context. Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang and Yang Liu  
MTNT: A Testbed for Machine Translation of Noisy Text. Paul Michel and Graham Neubig  
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++. Xiaolin Wang, Masao Utiyama and Eiichiro Sumita  
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing. Taku Kudo and John Richardson  
12:30 – 13:45
Short Papers I (Orals & Posters)
2A: Question Answering I
13:45 – 14:45
Gold Hall

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Chair: Scott Wen-tau Yih
13:45–13:57 SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach. Michael Petrochuk and Luke Zettlemoyer  
13:57–14:09 Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. Minjoon Seo, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi and Hannaneh Hajishirzi  
14:09–14:21 Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. Jinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko and Jaewoo Kang  
14:21–14:33 Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back and Heriberto Cuayahuitl  
14:33–14:45 Adaptive Document Retrieval for Deep Question Answering. Bernhard Kratzwald and Stefan Feuerriegel  
2B: Semantics II
13:45 – 14:45
Copper Hall

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Chair: Wei Xu
13:45–13:57 Why is unsupervised alignment of English embeddings from different algorithms so hard?. Mareike Hartmann, Yova Kementchedjhieva and Anders Søgaard  
13:57–14:09 Quantifying Context Overlap for Training Word Embeddings. Yimeng Zhuang, Jinghui Xie, Yinhe Zheng and Xuan Zhu  
14:09–14:21 Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space. Koki Washio and Tsuneaki Kato  
14:21–14:33 Generalizing Word Embeddings using Bag of Subwords. Jinman Zhao, Sidharth Mudgal and Yingyu Liang  
14:33–14:45 Neural Metaphor Detection in Context. Ge Gao, Eunsol Choi, Yejin Choi and Luke Zettlemoyer  
2C: Multilingual Methods I
13:45 – 14:45
Silver Hall / Panoramic Hall

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Chair: Shachar Mirkin
13:45–13:57 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging. Barbara Plank and Željko Agić  
13:57–14:09 Unsupervised Bilingual Lexicon Induction via Latent Variable Models. Zi-Yi Dou, Zhi-Hao Zhou and Shujian Huang  
14:09–14:21 Learning Unsupervised Word Translations Without Adversaries. Tanmoy Mukherjee, Makoto Yamada and Timothy Hospedales  
14:21–14:33 Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification. Ryo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka and Yushi Aono  
14:33–14:45 Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. Shiv Shankar, Siddhant Garg and Sunita Sarawagi  
2D: Social Media
13:45 – 14:45
Hall 100 / Hall 400

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Chair: Lu Wang
13:45–13:57 Joint Learning for Emotion Classification and Emotion Cause Detection. Ying Chen, Wenjun Hou, Xiyao Cheng and Shoushan Li  
13:57–14:09 Exploring Optimism and Pessimism in Twitter Using Deep Learning. Cornelia Caragea, Liviu P. Dinu and Bogdan Dumitru  
14:09–14:21 Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning. Sotiris Lamprinidis, Daniel Hardt and Dirk Hovy  
14:21–14:33 Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. Di Chen, Jiachen Du, Lidong Bing and Ruifeng Xu  
14:33–14:45 Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information. Dirk Hovy and Tommaso Fornaciari  
2E: Short Posters I
13:45 – 14:45
Grand Hall

Dialogue and Discourse
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation. Jingyuan Li and Xiao Sun  
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang and Lintao Zhang  
Extending Neural Generative Conversational Model using External Knowledge Sources. Prasanna Parthasarathi and Joelle Pineau  
Modeling Temporality of Human Intentions by Domain Adaptation. Xiaolei Huang, Lixing Liu, Kate Carey, Joshua Woolley, Stefan Scherer and Brian Borsari  
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng and Xu Sun  
A Dataset for Document Grounded Conversations. Kangyan Zhou, Shrimai Prabhumoye and Alan W Black  
Out-of-domain Detection based on Generative Adversarial Network. Seonghan Ryu, Sangjun Koo, Hwanjo Yu and Gary Geunbae Lee  
Listening Comprehension over Argumentative Content. Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov and Noam Slonim  
Using active learning to expand training data for implicit discourse relation recognition. Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang and Guodong Zhou  
Generation and Summarization
Learning To Split and Rephrase From Wikipedia Edit History. Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge and Dipanjan Das  
BLEU is Not Suitable for the Evaluation of Text Simplification. Elior Sulem, Omri Abend and Ari Rappoport  
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. Jiaxin Pei and Chenliang Li  
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. Tszhang Guo, Shiyu Chang, Mo Yu and Kun Bai  
Training for Diversity in Image Paragraph Captioning. Luke Melas-Kyriazi, Alexander Rush and George Han  
A Graph-theoretic Summary Evaluation for ROUGE. Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong and Fang Chen  
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation. Hardy Hardy and Andreas Vlachos  
Evaluating Multiple System Summary Lengths: A Case Study. Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova and Ido Dagan  
Neural Latent Extractive Document Summarization. Xingxing Zhang, Mirella Lapata, Furu Wei and Ming Zhou  
On the Abstractiveness of Neural Document Summarization. Fangfang Zhang, Jin-ge Yao and Rui Yan  
Text Classification, Text Mining and Information Retrieval
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning. Yucheng Wang, Zhongyu Wei, Yaqian Zhou and Xuanjing Huang  
Identifying Well-formed Natural Language Questions. Manaal Faruqui and Dipanjan Das  
Self-Governing Neural Networks for On-Device Short Text Classification. Sujith Ravi and Zornitsa Kozareva  
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization. Kazuya Shimura, Jiyi Li and Fumiyo Fukumoto  
A Hierarchical Neural Attention-based Text Classifier. Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung and Derek Ruths  
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales and Kevin Seppi  
Coherence-Aware Neural Topic Modeling. Ran Ding, Ramesh Nallapati and Bing Xiang  
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. Daniel Watson, Nasser Zalmout and Nizar Habash  
Topic Intrusion for Automatic Topic Model Evaluation. Shraey Bhatia, Jey Han Lau and Timothy Baldwin  
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents. Abhijith Athreya Mysore Gopinath, Shomir Wilson and Norman Sadeh  
14:45 – 15:00
Short Papers II (Orals & Posters)
3A: Machine Translation I
15:00 – 16:00
Gold Hall

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Chair: Lucia Specia
15:00–15:12 SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. Xinyi Wang, Hieu Pham, Zihang Dai and Graham Neubig  
15:12–15:24 Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. Yunsu Kim, Jiahui Geng and Hermann Ney  
15:24–15:36 Decipherment of Substitution Ciphers with Neural Language Models. Nishant Kambhatla, Anahita Mansouri Bigvand and Anoop Sarkar  
15:36–15:48 Rapid Adaptation of Neural Machine Translation to New Languages. Graham Neubig and Junjie Hu  
15:48–16:00 Compact Personalized Models for Neural Machine Translation. Joern Wuebker, Patrick Simianer and John DeNero  
3B: Machine Learning I
15:00 – 16:00
Copper Hall

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Chair: Byron Wallace
15:00–15:12 Self-Governing Neural Networks for On-Device Short Text Classification. Sujith Ravi and Zornitsa Kozareva  
15:12–15:24 Supervised Domain Enablement Attention for Personalized Domain Classification. Joo-Kyung Kim and Young-Bum Kim  
15:24–15:36 A Deep Neural Network Sentence Level Classification Method with Context Information. Xingyi Song, Johann Petrak and Angus Roberts  
15:36–15:48 Towards Dynamic Computation Graphs via Sparse Latent Structure. Vlad Niculae, André F. T. Martins and Claire Cardie  
15:48–16:00 Convolutional Neural Networks with Recurrent Neural Filters. Yi Yang  
3C: Semantic Parsing / Generation
15:00 – 16:00
Silver Hall / Panoramic Hall

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Chair: Reut Tsarfaty
15:00–15:12 Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen and Vadim Sheinin  
15:12–15:24 Retrieval-Based Neural Code Generation. Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic and Graham Neubig  
15:24–15:36 SQL-to-Text Generation with Graph-to-Sequence Model. Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng and Vadim Sheinin  
15:36–15:48 Generating Syntactic Paraphrases. Emilie Colin and Claire Gardent  
15:48–16:00 Neural-Davidsonian Semantic Proto-role Labeling. Rachel Rudinger, Adam Teichert, Ryan Culkin, Sheng Zhang and Benjamin Van Durme  
3D: Vision / Discourse
15:00 – 16:00
Hall 100 / Hall 400

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Chair: Zhou Yu
15:00–15:12 Conversational Decision-Making Model for Predicting the King’s Decision in the Annals of the Joseon Dynasty. JinYeong Bak and Alice Oh  
15:12–15:24 Toward Fast and Accurate Neural Discourse Segmentation. Yizhong Wang, Sujian Li and Jingfeng Yang  
15:24–15:36 A Dataset for Telling the Stories of Social Media Videos. Spandana Gella, Mike Lewis and Marcus Rohrbach  
15:36–15:48 Cascaded Mutual Modulation for Visual Reasoning. Yiqun Yao, Jiaming Xu, Feng Wang and Bo Xu  
15:48–16:00 How agents see things: On visual representations in an emergent language game. Diane Bouchacourt and Marco Baroni  
3E: Short Posters II
15:00 – 16:00
Grand Hall

Information Extraction
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction. Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang and Huajun Chen  
Put It Back: Entity Typing with Language Model Enhancement. Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu and Maosong Sun  
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. Walker Orr, Prasad Tadepalli and Xiaoli Fern  
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. Yiqing Zhang, Jianzhong Qi, Rui Zhang and Chuandong Yin  
A Neural Transition-based Model for Nested Mention Recognition. Bailin Wang, Wei Lu, Yu Wang and Hongxia Jin  
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao and Heyan Huang  
Effective Use of Context in Noisy Entity Linking. David Mueller and Greg Durrett  
Exploiting Contextual Information via Dynamic Memory Network for Event Detection. Shaobo Liu, Rui Cheng, Xiaoming Yu and Xueqi Cheng  
Question Answering
Do explanations make VQA models more predictable to a human?. Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay and Devi Parikh  
Facts That Matter. Marco Ponza, Luciano Del Corro and Gerhard Weikum  
Entity Tracking Improves Cloze-style Reading Comprehension. Luong Hoang, Sam Wiseman and Alexander Rush  
Adversarial Domain Adaptation for Duplicate Question Detection. Darsh Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo and Preslav Nakov  
Translating a Math Word Problem to a Expression Tree. Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang and Xiaojiang Liu  
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection. Massimo Nicosia and Alessandro Moschitti  
A dataset and baselines for sequential open-domain question answering. Ahmed Elgohary, Chen Zhao and Jordan Boyd-Graber  
Sentiment Analysis
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. Radu Tudor Ionescu and Andrei M. Butnaru  
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. Binxuan Huang and Kathleen Carley  
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network. Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi and William Brendel  
Learning Sentiment Memories for Sentiment Modification without Parallel Data. Yi Zhang, Jingjing Xu, Pengcheng Yang and Xu Sun  
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. Martin Schmitt, Simon Steinheber, Konrad Schreiber and Benjamin Roth  
Representing Social Media Users for Sarcasm Detection. Y. Alex Kolchinski and Christopher Potts  
Syntactical Analysis of the Weaknesses of Sentiment Analyzers. Rohil Verma, Samuel Kim and David Walter  
Social Applications
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender. Sridhar Moorthy, Ruth Pogacar, Samin Khan and Yang Xu  
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging. Nayeon Lee, Chien-Sheng Wu and Pascale Fung  
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations. Ryuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen and Tomoko Ohkuma  
Identifying Locus of Control in Social Media Language. Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone and Lyle Ungar  
Somm: Into the Model. Shengli Hu  
Fine-Grained Emotion Detection in Health-Related Online Posts. Hamed Khanpour and Cornelia Caragea  
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. Salvatore Giorgi, Daniel Preoţiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle Ungar and H. Andrew Schwartz  
Coffee Break
16:00 – 16:30
Long Papers & Demos II (Orals & Posters)
4A: Language Models
16:30 – 18:00
Gold Hall

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Chair: Chris Dyer
16:30–16:48 Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. Jason Lee, Elman Mansimov and Kyunghyun Cho  
16:48–17:06 Large Margin Neural Language Model. Jiaji Huang, Yi Li, Wei Ping and Liang Huang  
17:06–17:24 Targeted Syntactic Evaluation of Language Models. Rebecca Marvin and Tal Linzen  
17:24–17:42 Rational Recurrences. Hao Peng, Roy Schwartz, Sam Thomson and Noah A. Smith  
17:42–18:00 Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng and Jiawei Han  
4B: Information Extraction
16:30 – 18:00
Copper Hall

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Chair: Heng Ji
16:30–16:48 Automatic Event Salience Identification. Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura and Eduard Hovy  
16:48–17:06 Temporal Information Extraction by Predicting Relative Time-lines. Artuur Leeuwenberg and Marie-Francine Moens  
17:06–17:24 Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation. Xiao Liu, Zhunchen Luo and Heyan Huang  
17:24–17:42 RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar  
17:42–18:00 Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. Yubo Chen, Hang Yang, Kang Liu, Jun Zhao and Yantao Jia  
4C: Syntactic Parsing
16:30 – 18:00
Silver Hall / Panoramic Hall

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Chair: Joakim Nivre
16:30–16:48 Valency-Augmented Dependency Parsing. Tianze Shi and Lillian Lee  
16:48–17:06 Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. Junxian He, Graham Neubig and Taylor Berg-Kirkpatrick  
17:06–17:24 Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing. Daniel Fernández-González and Carlos Gómez-Rodríguez  
17:24–17:42 Constituent Parsing as Sequence Labeling. Carlos Gómez-Rodríguez and David Vilares  
17:42–18:00 Synthetic Data Made to Order: The Case of Parsing. Dingquan Wang and Jason Eisner  
4D: Visual QA
16:30 – 18:00
Hall 100 / Hall 400

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Chair: Carina Silberer
16:30–16:48 Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions. Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei and Jiebo Luo  
16:48–17:06 Learning a Policy for Opportunistic Active Learning. Aishwarya Padmakumar, Peter Stone and Raymond Mooney  
17:06–17:24 RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. Semih Yagcioglu, Aykut Erdem, Erkut Erdem and Nazli Ikizler-Cinbis  
17:24–17:42 TVQA: Localized, Compositional Video Question Answering. Jie Lei, Licheng Yu, Mohit Bansal and Tamara Berg  
17:42–18:00 Localizing Moments in Video with Temporal Language. Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell and Bryan Russell  
4E: Semantics III (Posters and Demos)
16:30 – 18:00
Grand Hall

Lexical Semantics
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models. Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov and Nigel Collier  
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui and Baobao Chang  
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations. Erik-Lân Do Dinh, Hannah Wieland and Iryna Gurevych  
Streaming word similarity mining on the cheap. Olof Görnerup and Daniel Gillblad  
Memory, Show the Way: Memory Based Few Shot Word Representation Learning. Jingyuan Sun, Shaonan Wang and Chengqing Zong  
Disambiguated skip-gram model. Karol Grzegorczyk and Marcin Kurdziel  
Picking Apart Story Salads. Su Wang, Eric Holgate, Greg Durrett and Katrin Erk  
Dynamic Meta-Embeddings for Improved Sentence Representations. Douwe Kiela, Changhan Wang and Kyunghyun Cho  
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis and Fei Sha  
Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation. Murhaf Fares, Stephan Oepen and Erik Velldal  
Dissecting Contextual Word Embeddings: Architecture and Representation. Matthew Peters, Mark Neumann, Luke Zettlemoyer and Wen-tau Yih  
Preposition Sense Disambiguation and Representation. Hongyu Gong, Jiaqi Mu, Suma Bhat and Pramod Viswanath  
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings. Tom Bosc and Pascal Vincent  
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources. Gabriel Stanovsky and Mark Hopkins  
[TACL] Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski  
Semantic Inference
Neural Multitask Learning for Simile Recognition. Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu and Guoping Hu  
Structured Alignment Networks for Matching Sentences. Yang Liu, Matt Gardner and Mirella Lapata  
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference. Yi Tay, Anh Tuan Luu and Siu Cheung Hui  
Convolutional Interaction Network for Natural Language Inference. Jingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang and Xuanjing Huang  
Lessons from Natural Language Inference in the Clinical Domain. Alexey Romanov and Chaitanya Shivade  
Semantic Parsing
Question Generation from SQL Queries Improves Neural Semantic Parsing. Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen and Ming Zhou  
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu and Dongmei Zhang  
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. Jonathan Herzig and Jonathan Berant  
A Span Selection Model for Semantic Role Labeling. Hiroki Ouchi, Hiroyuki Shindo and Yuji Matsumoto  
Mapping Language to Code in Programmatic Context. Srinivasan Iyer, Ioannis Konstas, Alvin Cheung and Luke Zettlemoyer  
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li and Dragomir Radev  
Cross-lingual Decompositional Semantic Parsing. Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh and Benjamin Van Durme  
Learning to Learn Semantic Parsers from Natural Language Supervision. Igor Labutov, Bishan Yang and Tom Mitchell  
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. Jesse Dunietz, Jaime Carbonell and Lori Levin  
What It Takes to Achieve 100% Condition Accuracy on WikiSQL. Semih Yavuz, Izzeddin Gur, Yu Su and Xifeng Yan  
Better Transition-Based AMR Parsing with a Refined Search Space. Zhijiang Guo and Wei Lu  
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. Pengcheng Yin and Graham Neubig  
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci and Peer-Timo Bremer  
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. Ajay Patel, Alexander Sands, Chris Callison-Burch and Marianna Apidianaki  
Universal Sentence Encoder for English. Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope and Ray Kurzweil  
Saturday, 3 November 2018
Long Papers & Demos III (Orals & Posters)
5A: Semantics IV
09:00 – 10:30
Gold Hall

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Chair: Stephan Oepen
09:00–09:18 Heuristically Informed Unsupervised Idiom Usage Recognition. Changsheng Liu and Rebecca Hwa  
09:18–09:36 Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. Haim Dubossarsky, Eitan Grossman and Daphna Weinshall  
09:36–09:54 Predicting Semantic Relations using Global Graph Properties. Yuval Pinter and Jacob Eisenstein  
09:54–10:12 Learning Scalar Adjective Intensity from Paraphrases. Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki and Chris Callison-Burch  
10:12–10:30 Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki and Kentaro Inui  
5B: Summarization
09:00 – 10:30
Copper Hall

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Chair: Fei Liu
09:00–09:18 Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. Yongzhen Wang, Xiaozhong Liu and Zheng Gao  
09:18–09:36 Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling. Wei Li, Xinyan Xiao, Yajuan Lyu and Yuanzhuo Wang  
09:36–09:54 Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. Shashi Narayan, Shay B. Cohen and Mirella Lapata  
09:54–10:12 Improving Abstraction in Text Summarization. Wojciech Kryściński, Romain Paulus, Caiming Xiong and Richard Socher  
10:12–10:30 Content Selection in Deep Learning Models of Summarization. Chris Kedzie, Kathleen McKeown and Hal Daume III  
5C: IR / Text Mining
09:00 – 10:30
Silver Hall / Panoramic Hall

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Chair: Alessandro Moschitti
09:00–09:18 Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. Dinghan Shen, Xinyuan Zhang, Ricardo Henao and Lawrence Carin  
09:18–09:36 Learning Context-Sensitive Convolutional Filters for Text Processing. Dinghan Shen, Martin Renqiang Min, Yitong Li and Lawrence Carin  
09:36–09:54 Deep Relevance Ranking Using Enhanced Document-Query Interactions. Ryan McDonald, George Brokos and Ion Androutsopoulos  
09:54–10:12 Learning Neural Representation for CLIR with Adversarial Framework. Bo Li and Ping Cheng  
10:12–10:30 AD3: Attentive Deep Document Dater. Swayambhu Nath Ray, Shib Sankar Dasgupta and Partha Talukdar  
5D: Machine Learning II
09:00 – 10:30
Hall 100 / Hall 400

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Chair: Kai-Wei Chang
09:00–09:18 Gromov-Wasserstein Alignment of Word Embedding Spaces. David Alvarez-Melis and Tommi Jaakkola  
09:18–09:36 Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. Hai Wang and Hoifung Poon  
09:36–09:54 Deriving Machine Attention from Human Rationales. Yujia Bao, Shiyu Chang, Mo Yu and Regina Barzilay  
09:54–10:12 Semi-Supervised Sequence Modeling with Cross-View Training. Kevin Clark, Minh-Thang Luong, Christopher D. Manning and Quoc Le  
10:12–10:30 [TACL] Comparing Bayesian Models of Annotation. Silviu Paun, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz, Massimo Poesio  
5E: Information Extraction, Question Answering (Posters and Demos)
09:00 – 10:30
Grand Hall

Entities and Coreference
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs. Dimitri Kartsaklis, Mohammad Taher Pilehvar and Nigel Collier  
Differentiating Concepts and Instances for Knowledge Graph Embedding. Xin Lv, Lei Hou, Juanzi Li and Zhiyuan Liu  
One-Shot Relational Learning for Knowledge Graphs. Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang  
Regular Expression Guided Entity Mention Mining from Noisy Web Data. Shanshan Zhang, Lihong He, Slobodan Vucetic and Eduard Dragut  
A Deterministic Algorithm for Bridging Anaphora Resolution. Yufang Hou  
A Knowledge Hunting Framework for Common Sense Reasoning. Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung  
Neural Adaptation Layers for Cross-domain Named Entity Recognition. Bill Yuchen Lin and Wei Lu  
Entity Linking within a Social Media Platform: A Case Study on Yelp. Hongliang Dai, Yangqiu Song, Liwei Qiu and Rijia Liu  
Annotation of a Large Clinical Entity Corpus. Pinal Patel, Disha Davey, Vishal Panchal and Parth Pathak  
Visual Supervision in Bootstrapped Information Extraction. Matthew Berger, Ajay Nagesh, Joshua Levine, Mihai Surdeanu and Helen Zhang  
Learning Named Entity Tagger using Domain-Specific Dictionary. Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren and Jiawei Han  
Zero-Shot Open Entity Typing as Type-Compatible Grounding. Ben Zhou, Daniel Khashabi, Chen-Tse Tsai and Dan Roth  
Question Answering and Reading Comprehension
Attention-Guided Answer Distillation for Machine Reading Comprehension. Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang and Ming Zhou  
Interpretation of Natural Language Rules in Conversational Machine Reading. Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard and Sebastian Riedel  
A State-transition Framework to Answer Complex Questions over Knowledge Base. Sen Hu, Lei Zou and Xinbo Zhang  
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension. Jiahua Liu, Wan Wei, Maosong Sun, Hao Chen, Yantao Du and Dekang Lin  
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. Mingming Sun, Xu Li and Ping Li  
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim and Jaegul Choo  
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension. Yi Tay, Anh Tuan Luu and Siu Cheung Hui  
Neural Compositional Denotational Semantics for Question Answering. Nitish Gupta and Mike Lewis  
Cross-Pair Text Representations for Answer Sentence Selection. Kateryna Tymoshenko and Alessandro Moschitti  
QuAC: Question Answering in Context. Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang and Luke Zettlemoyer  
Knowledge Base Question Answering via Encoding of Complex Query Graphs. Kangqi Luo, Fengli Lin, Xusheng Luo and Kenny Zhu  
Relation Extraction
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning. Tianyi Liu, Xinsong Zhang, Wanhao Zhou and Weijia Jia  
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. Yuhao Zhang, Peng Qi and Christopher D. Manning  
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. Jinhua Du, Jingguang Han, Andy Way and Dadong Wan  
N-ary Relation Extraction using Graph-State LSTM. Linfeng Song, Yue Zhang, Zhiguo Wang and Daniel Gildea  
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun and Peng Li  
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding. Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei Zhang, Hai Zhu and Huajun Chen  
Extracting Entities and Relations with Joint Minimum Risk Training. Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee and Kewen Wu  
Large-scale Exploration of Neural Relation Classification Architectures. Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar and Nigel Collier  
Possessors Change Over Time: A Case Study with Artworks. Dhivya Chinnappa and Eduardo Blanco  
CogCompTime: A Tool for Understanding Time in Natural Language. Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng and Dan Roth  
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction. Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Padó and Roman Klinger  
Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform. Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie and Iryna Gurevych  
OpenKE: An Open Toolkit for Knowledge Embedding. Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun and Juanzi Li  
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM. Ekaterina Loginova and Günter Neumann  
An Interface for Annotating Science Questions. Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula and Michael Witbrock  
Interactive Instance-based Evaluation of Knowledge Base Question Answering. Daniil Sorokin and Iryna Gurevych  
Coffee Break
10:30 – 11:00
Long Papers & Demos IV (Orals & Posters)
6A: Dialogue I
11:00 – 12:30
Gold Hall

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Chair: Mohit Bansal
11:00–11:18 Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution. Todd Shore and Gabriel Skantze  
11:18–11:36 Subgoal Discovery for Hierarchical Dialogue Policy Learning. Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li and Tony Jebara  
11:36–11:54 Supervised Clustering of Questions into Intents for Dialog System Applications. Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina and Alessandro Moschitti  
11:54–12:12 Towards Exploiting Background Knowledge for Building Conversation Systems. Nikita Moghe, Siddhartha Arora, Suman Banerjee and Mitesh M. Khapra  
12:12–12:30 Decoupling Strategy and Generation in Negotiation Dialogues. He He, Derek Chen, Anusha Balakrishnan and Percy Liang  
6B: Question Answering II
11:00 – 12:30
Copper Hall

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Chair: William Wang
11:00–11:18 Large-scale Cloze Test Dataset Created by Teachers. Qizhe Xie, Guokun Lai, Zihang Dai and Eduard Hovy  
11:18–11:36 emrQA: A Large Corpus for Question Answering on Electronic Medical Records. Anusri Pampari, Preethi Raghavan, Jennifer Liang and Jian Peng  
11:36–11:54 HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov and Christopher D. Manning  
11:54–12:12 Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. Todor Mihaylov, Peter Clark, Tushar Khot and Ashish Sabharwal  
12:12–12:30 Evaluating Theory of Mind in Question Answering. Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik and Tom Griffiths  
6C: Semantics V
11:00 – 12:30
Silver Hall / Panoramic Hall

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Chair: Ivan Vulić
11:00–11:18 A Unified Syntax-aware Framework for Semantic Role Labeling. Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li and Luo Si  
11:18–11:36 Semantics as a Foreign Language. Gabriel Stanovsky and Ido Dagan  
11:36–11:54 An AMR Aligner Tuned by Transition-based Parser. Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin and Ting Liu  
11:54–12:12 Dependency-based Hybrid Trees for Semantic Parsing. Zhanming Jie and Wei Lu  
12:12–12:30 Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. Dipendra Misra, Ming-Wei Chang, Xiaodong He and Wen-tau Yih  
6D: Multilingual Methods II
11:00 – 12:30
Hall 100 / Hall 400

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Chair: Barbara Plank
11:00–11:18 Sentence Compression for Arbitrary Languages via Multilingual Pivoting. Jonathan Mallinson, Rico Sennrich and Mirella Lapata  
11:18–11:36 Unsupervised Cross-lingual Transfer of Word Embedding Spaces. Ruochen Xu, Yiming Yang, Naoki Otani and Yuexin Wu  
11:36–11:54 XNLI: Evaluating Cross-lingual Sentence Representations. Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk and Veselin Stoyanov  
11:54–12:12 Joint Multilingual Supervision for Cross-lingual Entity Linking. Shyam Upadhyay, Nitish Gupta and Dan Roth  
12:12–12:30 Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei and Ming Zhou  
6E: Syntax, Morphology, Vision & Language I (Posters and Demos)
11:00 – 12:30
Grand Hall

Morphology, Word Segmentation and POS Tagging
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks. Oliver Hellwig and Sebastian Nehrdich  
[TACL] Universal Word Segmentation: Implementation and Interpretation. Yan Shao, Christian Hardmeier, Joakim Nivre  
WECA:A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. Yufeng Diao, Hongfei Lin, Di Wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu and Dongyu Zhang  
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check. Dingmin Wang, Yan Song, Jing Li, Jialong Han and Haisong Zhang  
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, di liang, Keyu Ding and Xuanjing Huang  
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri and Pawan Goyal  
A Challenge Set and Methods for Noun-Verb Ambiguity. Ali Elkahky, Kellie Webster, Daniel Andor and Emily Pitler  
What do character-level models learn about morphology? The case of dependency parsing. Clara Vania, Andreas Grivas and Adam Lopez  
Learning Better Internal Structure of Words for Sequence Labeling. Yingwei Xin, Ethan Hart, Vibhuti Mahajan and Jean David Ruvini  
Vision and Language
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria and Roger Zimmermann  
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation. Ryota Hinami and Shin'ichi Satoh  
Grounding Semantic Roles in Images. Carina Silberer and Manfred Pinkal  
Commonsense Justification for Action Explanation. Shaohua Yang, Qiaozi Gao, Sari Sadiya and Joyce Chai  
Learning Personas from Dialogue with Attentive Memory Networks. Eric Chu, Prashanth Vijayaraghavan and Deb Roy  
Grounding language acquisition by training semantic parsers using captioned videos. Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar and Boris Katz  
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto and Silvio Savarese  
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin and Yoav Artzi  
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects. Cory Shain and William Schuler  
Is this Sentence Difficult? Do you Agree?. Dominique Brunato, Lorenzo De Mattei, Felice Dell'Orletta, Benedetta Iavarone and Giulia Venturi  
Neural Transition Based Parsing of Web Queries: An Entity Based Approach. Rivka Malca and Roi Reichart  
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. Aaron Smith, Miryam de Lhoneux, Sara Stymne and Joakim Nivre  
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler and Lane Schwartz  
[TACL] In-Order Transition-based Constituent Parsing. Jiangming Liu and Yue Zhang  
[TACL] Surface Statistics of an Unknown Language Indicate How to Parse It. Dingquan Wang and Jason Eisner  
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata. Marco Cognetta, Yo-Sub Han and Soon Chan Kwon  
Syntax Encoding with Application in Authorship Attribution. Richong Zhang, Zhiyuan Hu, Hongyu Guo and Yongyi Mao  
Neural Quality Estimation of Grammatical Error Correction. Shamil Chollampatt and Hwee Tou Ng  
MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish. Berke Özenç, Razieh Ehsani and Ercan Solak  
Juman++: A Morphological Analysis Toolkit for Scriptio Continua. Arseny Tolmachev, Daisuke Kawahara and Sadao Kurohashi  
12:30 – 13:45
Short Papers III (Orals & Posters)
7A: Dialogue II
13:45 – 14:45
Gold Hall

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Chair: Zornitsa Kozareva
13:45–13:57 Session-level Language Modeling for Conversational Speech. Wayne Xiong, Lingfeng Wu, Jun Zhang and Andreas Stolcke  
13:57–14:09 Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method. Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao and Shuming Shi  
14:09–14:21 Training Millions of Personalized Dialogue Agents. Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison and Antoine Bordes  
14:21–14:33 Towards Universal Dialogue State Tracking. Liliang Ren, Kaige Xie, Lu Chen and Kai Yu  
14:33–14:45 Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar and Mike Lewis  
7B: Social Applications II
13:45 – 14:45
Copper Hall

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Chair: Shomir Wilson
13:45–13:57 The glass ceiling in NLP. Natalie Schluter  
13:57–14:09 Reducing Gender Bias in Abusive Language Detection. Ji Ho Park, Jamin Shin and Pascale Fung  
14:09–14:21 SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. Sweta Karlekar and Mohit Bansal  
14:21–14:33 Learning multiview embeddings for assessing dementia. Chloé Pou-Prom and Frank Rudzicz  
14:33–14:45 WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen and Lucas Dixon  
13:45 – 14:45
Silver Hall / Panoramic Hall

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Chair: Alan Ritter
13:45–13:57 Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. Nathan Greenberg, Trapit Bansal, Patrick Verga and Andrew McCallum  
13:57–14:09 Adversarial training for multi-context joint entity and relation extraction. Giannis Bekoulis, Johannes Deleu, Thomas Demeester and Chris Develder  
14:09–14:21 Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. Gaurav Singh, James Thomas, Iain Marshall, John Shawe-Taylor and Byron C. Wallace  
14:21–14:33 Deep Exhaustive Model for Nested Named Entity Recognition. Mohammad Golam Sohrab and Makoto Miwa  
14:33–14:45 Evaluating the Utility of Hand-crafted Features in Sequence Labelling. Minghao Wu, Fei Liu and Trevor Cohn  
7D: Morphology / Parsing
13:45 – 14:45
Hall 100 / Hall 400

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Chair: Katharina Kann
13:45–13:57 Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. Wenhui Wang, Baobao Chang and Mairgup Mansur  
13:57–14:09 A Framework for Understanding the Role of Morphology in Universal Dependency Parsing. Mathieu Dehouck and Pascal Denis  
14:09–14:21 The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. Arianna Bisazza and Clara Tump  
14:21–14:33 Imitation Learning for Neural Morphological String Transduction. Peter Makarov and Simon Clematide  
14:33–14:45 An Encoder-Decoder Approach to the Paradigm Cell Filling Problem. Miikka Silfverberg and Mans Hulden  
7E: Short Posters III
13:45 – 14:45
Grand Hall

Neural Architectures and Language Models
Generating Natural Language Adversarial Examples. Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava and Kai-Wei Chang  
Multi-Head Attention with Disagreement Regularization. Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu and Tong Zhang  
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study. Aditya Siddhant and Zachary C. Lipton  
Bayesian Compression for Natural Language Processing. Nadezhda Chirkova, Ekaterina Lobacheva and Dmitry Vetrov  
Multimodal neural pronunciation modeling for spoken languages with logographic origin. Minh Nguyen, Gia H Ngo and Nancy Chen  
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet. Yafang Huang and Hai Zhao  
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. Thanapon Noraset, Doug Downey and Lidong Bing  
How to represent a word and predict it, too: Improving tied architectures for language modelling. Kristina Gulordava, Laura Aina and Gemma Boleda  
The Importance of Generation Order in Language Modeling. Nicolas Ford, Daniel Duckworth, Mohammad Norouzi and George Dahl  
Machine Translation
Document-Level Neural Machine Translation with Hierarchical Attention Networks. Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas and James Henderson  
Three Strategies to Improve One-to-Many Multilingual Translation. Yining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong  
Multi-Source Syntactic Neural Machine Translation. Anna Currey and Kenneth Heafield  
Fixing Translation Divergences in Parallel Corpora for Neural MT. Minh Quang Pham, Josep Crego, Jean Senellart and François Yvon  
Adversarial Evaluation of Multimodal Machine Translation. Desmond Elliott  
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou and Edouard Grave  
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li and Qi Su  
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation. Nikolay Bogoychev, Kenneth Heafield, Alham Fikri Aji and Marcin Junczys-Dowmunt  
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. Longyue Wang, Zhaopeng Tu, Andy Way and Qun Liu  
Getting Gender Right in Neural Machine Translation. Eva Vanmassenhove, Christian Hardmeier and Andy Way  
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation. Parnia Bahar, Christopher Brix and Hermann Ney  
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. Jindřich Libovický and Jindřich Helcl  
Prediction Improves Simultaneous Neural Machine Translation. Ashkan Alinejad, Maryam Siahbani and Anoop Sarkar  
Training Deeper Neural Machine Translation Models with Transparent Attention. Ankur Bapna, Mia Chen, Orhan Firat, Yuan Cao and Yonghui Wu  
Context and Copying in Neural Machine Translation. Rebecca Knowles and Philipp Koehn  
Encoding Gated Translation Memory into Neural Machine Translation. Qian Cao and Deyi Xiong  
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. Thuy-Trang Vu and Gholamreza Haffari  
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation. Yilin Yang, Liang Huang and Mingbo Ma  
Multilingual NLP
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing. Yadollah Yaghoobzadeh and Hinrich Schütze  
Word Embeddings for Code-Mixed Language Processing. Adithya Pratapa, Monojit Choudhury and Sunayana Sitaram  
On the Strength of Character Language Models for Multilingual Named Entity Recognition. Xiaodong Yu, Stephen Mayhew, Mark Sammons and Dan Roth  
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. Saurabh Garg, Tanmay Parekh and Preethi Jyothi  
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification. Kelsey Ball and Dan Garrette  
14:45 – 15:00
Keynote II: "Understanding the News that Moves Markets"
Gideon Mann (Bloomberg, L.P.)
15:00 – 16:00
Gold Hall / Copper Hall / Silver Hall / Hall 100

Since the dawn of human civilization, finance and language technology have been connected. However, only recently have advances in statistical language understanding, and an ever-increasing thirst for market advantage, led to the widespread application of natural language technology across the global capital markets. This talk will review the ways in which language technology is enabling market participants to quickly understand and respond to major world events and breaking business news. It will outline the state of the art in applications of NLP to finance and highlight open problems that are being addressed by emerging research.

Coffee Break
16:00 – 16:30
Long Papers & Demos V (Orals & Posters)
8A: Text Categorization
16:30 – 18:00
Gold Hall

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Chair: Ion Androutsopoulos
16:30–16:48 Zero-shot User Intent Detection via Capsule Neural Networks. Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang and Philip Yu  
16:48–17:06 Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. Di Jin and Peter Szolovits  
17:06–17:24 Investigating Capsule Networks with Dynamic Routing for Text Classification. Min Yang, Wei Zhao, Jianbo Ye, Zeyang Lei, Zhou Zhao and Soufei Zhang  
17:24–17:42 Topic Memory Networks for Short Text Classification. Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu and Irwin King  
17:42–18:00 Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. Anthony Rios and Ramakanth Kavuluru  
8B: Generation
16:30 – 18:00
Copper Hall

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Chair: Ioannis Konstas
16:30–16:48 Automatic Poetry Generation with Mutual Reinforcement Learning. Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Wenhao Li  
16:48–17:06 Variational Autoregressive Decoder for Neural Response Generation. Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing and Xuan Wang  
17:06–17:24 Integrating Transformer and Paraphrase Rules for Sentence Simplification. Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono and Bambang Parmanto  
17:24–17:42 Learning Neural Templates for Text Generation. Sam Wiseman, Stuart Shieber and Alexander Rush  
17:42–18:00 Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation. Renjie Zheng, Mingbo Ma and Liang Huang  
8C: Knowledge Graphs
16:30 – 18:00
Silver Hall / Panoramic Hall

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Chair: Partha Talukdar
16:30–16:48 Knowledge Graph Embedding with Hierarchical Relation Structure. Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin and Qing He  
16:48–17:06 Embedding Multimodal Relational Data for Knowledge Base Completion. Pouya Pezeshkpour, Liyan Chen and Sameer Singh  
17:06–17:24 Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. Yi Luan, Luheng He, Mari Ostendorf and Hannaneh Hajishirzi  
17:24–17:42 Playing 20 Question Game with Policy-Based Reinforcement Learning. Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, wei wu and Zhan Chen  
17:42–18:00 Multi-Hop Knowledge Graph Reasoning with Reward Shaping. Xi Victoria Lin, Richard Socher and Caiming Xiong  
8D: Morphology / Phonology
16:30 – 18:00
Hall 100 / Hall 400

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Chair: Aida Nematzadeh
16:30–16:48 Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. Katharina Kann and Hinrich Schütze  
16:48–17:06 Implicational Universals in Stochastic Constraint-Based Phonology. Giorgio Magri  
17:06–17:24 Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?. Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve and Thomas Demeester  
17:24–17:42 Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. Aditi Chaudhary, Chunting Zhou, Lori Levin, Graham Neubig, David R. Mortensen and Jaime Carbonell  
17:42–18:00 [TACL] Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. Christo Kirov, Ryan Cotterell  
8E: Sentiment, Social Applications, Multimodal Semantics, Discourse (Posters and Demos)
16:30 – 18:00
Grand Hall

A Computational Exploration of Exaggeration. Enrica Troiano, Carlo Strapparava, Gözde Özbal and Serra Sinem Tekiroglu  
Building Context-aware Clause Representations for Situation Entity Type Classification. Zeyu Dai and Ruihong Huang  
Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain. Yeon Seonwoo, Alice Oh and Sungjoon Park  
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models. Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto and Kai Eckert  
Neural Ranking Models for Temporal Dependency Structure Parsing. Yuchen Zhang and Nianwen Xue  
Causal Explanation Analysis on Social Media. Youngseo Son, Nipun Bayas and H. Andrew Schwartz  
Recommender Systems
LRMM: Learning to Recommend with Missing Modalities. Cheng Wang, Mathias Niepert and Hui Li  
Content Explorer: Recommending Novel Entities for a Document Writer. Michal Lukasik and Richard Zens  
A Genre-Aware Attention Model to Improve the Likability Prediction of Books. Suraj Maharjan, Manuel Montes, Fabio A. González and Thamar Solorio  
Thread Popularity Prediction and Tracking with a Permutation-invariant Model. Hou Pong Chan and Irwin King  
Sentiment Analysis
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Md Shad Akhtar, Erik Cambria and Asif Ekbal  
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations. Zhe Zhang and Munindar Singh  
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. Yang Yang, Deyu ZHOU and Yulan He  
Multi-grained Attention Network for Aspect-Level Sentiment Classification. Feifan Fan, Yansong Feng and Dongyan Zhao  
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification. Yi Tay, Anh Tuan Luu, Siu Cheung Hui and Jian Su  
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya  
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier  
ExtRA: Extracting Prominent Review Aspects from Customer Feedback. Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi and Kenny Zhu  
Social Applications and Social Media
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content. Weiming Wen, Songwen Su and Zhou Yu  
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. Samuel Carton, Qiaozhu Mei and Paul Resnick  
Automatic Detection of Vague Words and Sentences in Privacy Policies. Logan Lebanoff and Fei Liu  
Multi-view Models for Political Ideology Detection of News Articles. Vivek Kulkarni, Junting Ye, Steve Skiena and William Yang Wang  
Predicting Factuality of Reporting and Bias of News Media Sources. Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James Glass and Preslav Nakov  
Legal Judgment Prediction via Topological Learning. Haoxi Zhong, Guo Zhipeng, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu and Maosong Sun  
Hierarchical CVAE for Fine-Grained Hate Speech Classification. Jing Qian, Mai ElSherief, Elizabeth Belding and William Yang Wang  
Residualized Factor Adaptation for Community Social Media Prediction Tasks. Mohammadzaman Zamani, H. Andrew Schwartz, Veronica Lynn, Salvatore Giorgi and Niranjan Balasubramanian  
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky and Yulia Tsvetkov  
Identifying the sentiment styles of YouTube's vloggers. Bennett Kleinberg, Maximilian Mozes and Isabelle van der Vegt  
Native Language Identification with User Generated Content. Gili Goldin, Ella Rabinovich and Shuly Wintner  
Visualization of the Topic Space of Argument Search Results in args.me. Yamen Ajjour, Henning Wachsmuth, Dora Kiesel, Patrick Riehmann, Fan Fan, Giuliano Castiglia, Rosemary Adejoh, Bernd Fröhlich and Benno Stein  
A Multilingual Information Extraction Pipeline for Investigative Journalism. Gregor Wiedemann, Seid Muhie Yimam and Chris Biemann  
When science journalism meets artificial intelligence : An interactive demonstration. Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan and Vasudeva Varma  
Social Event
19:00 – 22:00
Royal Museums of Fine Arts of Belgium

On the evening of Saturday, November 3rd, the EMNLP 2018 social event will take place at the Royal Museums of Fine Arts of Belgium. Four museums, housed in a single building, will welcome the EMNLP delegates with their prestigious collection of 20,000 works of art. The Museums’ collections trace the history of the visual arts — painting, sculpture and drawing — from the 15th to the 21st century.

Sunday, 4 November 2018
Long Papers & Demos VI (Orals & Posters)
9A: Machine Translation II
09:00 – 10:30
Gold Hall

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Chair: Holger Schwenk
09:00–09:18 Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai and Tie-Yan Liu  
09:18–09:36 A Study of Reinforcement Learning for Neural Machine Translation. Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai and Tie-Yan Liu  
09:36–09:54 Meta-Learning for Low-Resource Neural Machine Translation. Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li and Kyunghyun Cho  
09:54–10:12 Unsupervised Statistical Machine Translation. Mikel Artetxe, Gorka Labaka and Eneko Agirre  
10:12–10:30 A Visual Attention Grounding Neural Model for Multimodal Machine Translation. Mingyang Zhou, Runxiang Cheng, Yong Jae Lee and Zhou Yu  
9B: Sentiment I
09:00 – 10:30
Copper Hall

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Chair: Yulan He
09:00–09:18 Sentiment Classification towards Question-Answering with Hierarchical Matching Network. Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang and Guodong Zhou  
09:18–09:36 Cross-topic Argument Mining from Heterogeneous Sources. Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai and Iryna Gurevych  
09:36–09:54 Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised. Stefanos Angelidis and Mirella Lapata  
09:54–10:12 CARER: Contextualized Affect Representations for Emotion Recognition. Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu and Yi-Shin Chen  
10:12–10:30 [TACL] Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Weinberger  
9C: Machine Learning III
09:00 – 10:30
Silver Hall / Panoramic Hall

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Chair: Sujith Ravi
09:00–09:18 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency. Zhuang Ma and Michael Collins  
09:18–09:36 CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization. Semih Yavuz, Chung-Cheng Chiu, Patrick Nguyen and Yonghui Wu  
09:36–09:54 Pathologies of Neural Models Make Interpretations Difficult. Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez and Jordan Boyd-Graber  
09:54–10:12 Phrase-level Self-Attention Networks for Universal Sentence Encoding. Wei Wu, Houfeng Wang, Tianyu Liu and Shuming Ma  
10:12–10:30 BanditSum: Extractive Summarization as a Contextual Bandit. Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof and Jackie Chi Kit Cheung  
9D: Semantics VI
09:00 – 10:30
Hall 100 / Hall 400

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Chair: Gabriel Stanovsky
09:00–09:18 A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification. Mounica Maddela and Wei Xu  
09:18–09:36 Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data. Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang and Chin-Yew Lin  
09:36–09:54 Syntactic Scaffolds for Semantic Structures. Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer and Noah A. Smith  
09:54–10:12 Hierarchical Quantized Representations for Script Generation. Noah Weber, Leena Shekhar, Niranjan Balasubramanian and Nate Chambers  
10:12–10:30 Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun and Xiaojun Wan  
9E: Generation, Dialogue, Summarization; Vision & Language II (Posters and Demos)
09:00 – 10:30
Grand Hall

A Teacher-Student Framework for Maintainable Dialog Manager. Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li  
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu and Yun-Nung Chen  
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding. Changliang Li, Liang Li and Ji Qi  
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh and Lazaros Polymenakos  
AirDialogue: An Environment for Goal-Oriented Dialogue Research. Wei Wei, Quoc Le, Andrew Dai and Jia Li  
[TACL] Polite Dialogue Generation Without Parallel Data. Niu, Tong and Bansal, Mohit  
QuaSE: Sequence Editing under Quantifiable Guidance. Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam and Tong Zhang  
Paraphrase Generation with Deep Reinforcement Learning. Zichao Li, Xin Jiang, Lifeng Shang and Hang Li  
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan and Chin-Yew Lin  
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training. Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, Dongyan Zhao and Rui Yan  
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks. Yao Zhao, Xiaochuan Ni, Yuanyuan Ding and Qifa Ke  
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang and Dragomir Radev  
Unsupervised Natural Language Generation with Denoising Autoencoders. Markus Freitag and Scott Roy  
Answer-focused and Position-aware Neural Question Generation. Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma and Shi Wang  
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. Jingjing Xu, Xuancheng Ren, Junyang Lin and Xu Sun  
Towards a Better Metric for Evaluating Question Generation Systems. Preksha Nema and Mitesh M. Khapra  
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement. Cheng Yang, Maosong Sun, Xiaoyuan Yi and Wenhao Li  
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. Ashutosh Baheti, Alan Ritter, Jiwei Li and Bill Dolan  
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. Xinnuo Xu, Ondřej Dušek, Ioannis Konstas and Verena Rieser  
Vision and Language
Incorporating Background Knowledge into Video Description Generation. Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang and Clare Voss  
Multimodal Differential Network for Visual Question Generation. Badri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi and Vinay Namboodiri  
Entity-aware Image Caption Generation. Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji and Shih-Fu Chang  
Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani and Taylor Berg-Kirkpatrick  
Object Hallucination in Image Captioning. Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell and Kate Saenko  
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN. Jingqiang Chen and Hai Zhuge  
Keyphrase Generation with Correlation Constraints. Jun Chen, Xiaoming Zhang, Yu Wu, Zhao Yan and Zhoujun Li  
Closed-Book Training to Improve Summarization Encoder Memory. Yichen Jiang and Mohit Bansal  
Improving Neural Abstractive Document Summarization with Structural Regularization. Wei Li, Xinyan Xiao, Yajuan Lyu and Yuanzhuo Wang  
Iterative Document Representation Learning Towards Summarization with Polishing. Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao and Rui Yan  
Bottom-Up Abstractive Summarization. Sebastian Gehrmann, Yuntian Deng and Alexander Rush  
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network. Yizhu Liu, Zhiyi Luo and Kenny Zhu  
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. Yang Gao, Christian M. Meyer and Iryna Gurevych  
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. Logan Lebanoff, Kaiqiang Song and Fei Liu  
Semi-Supervised Learning for Neural Keyphrase Generation. Hai Ye and Lu Wang  
MSMO: Multimodal Summarization with Multimodal Output. Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang and Chengqing Zong  
Frustratingly Easy Model Ensemble for Abstractive Summarization. Hayato Kobayashi  
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries. Tsutomu Hirao, Hidetaka Kamigaito and Masaaki Nagata  
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks. Yaushian Wang and Hung-yi Lee  
Visualizing Group Dynamics based on Multiparty Meeting Understanding. Ni Zhang, Tongtao Zhang, Indrani Bhattacharya, Heng Ji and Rich Radke  
PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform. Antoine Raux, Yi Ma, Paul Yang and Felicia Wong  
Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing. Arushi Raghuvanshi, Lucien Carroll and Karthik Raghunathan  
SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology. Md Iftekhar Tanveer and Ferhan Ture  
LIA: A Natural Language Programmable Personal Assistant. Igor Labutov, Shashank Srivastava and Tom Mitchell  
Data2Text Studio: Automated Text Generation from Structured Data. Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao and Chin-Yew Lin  
Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing. Seid Muhie Yimam and Chris Biemann  
Coffee Break
10:30 – 11:00
Long Papers & Demos VII (Orals & Posters)
10A: Question Answering III
11:00 – 12:30
Gold Hall

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Chair: Jordan Boyd-Graber
11:00–11:18 Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. Shafiq Joty, Lluís Màrquez and Preslav Nakov  
11:18–11:36 What Makes Reading Comprehension Questions Easier?. Saku Sugawara, Kentaro Inui, Satoshi Sekine and Akiko Aizawa  
11:36–11:54 Commonsense for Generative Multi-Hop Question Answering Tasks. Lisa Bauer, Yicheng Wang and Mohit Bansal  
11:54–12:12 Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov and William Cohen  
12:12–12:30 A Nil-Aware Answer Extraction Framework for Question Answering. Souvik Kundu and Hwee Tou Ng  
10B: Machine Translation III
11:00 – 12:30
Copper Hall

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Chair: Joerg Tiedemann
11:00–11:18 Exploiting Deep Representations for Neural Machine Translation. Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi and Tong Zhang  
11:18–11:36 Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. Gongbo Tang, Mathias Müller, Annette Rios and Rico Sennrich  
11:36–11:54 Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. Biao Zhang, Deyi Xiong, jinsong su, Qian Lin and Huiji Zhang  
11:54–12:12 Speeding Up Neural Machine Translation Decoding by Cube Pruning. Wen Zhang, Liang Huang, Yang Feng, Lei Shen and Qun Liu  
12:12–12:30 Revisiting Character-Based Neural Machine Translation with Capacity and Compression. Colin Cherry, George Foster, Ankur Bapna, Orhan Firat and Wolfgang Macherey  
10C: Discourse
11:00 – 12:30
Silver Hall / Panoramic Hall

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Chair: Mirella Lapata
11:00–11:18 A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai and Xu Sun  
11:18–11:36 NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation. Xiaoyu Shen, Hui Su, Wenjie Li and Dietrich Klakow  
11:36–11:54 A Neural Local Coherence Model for Text Quality Assessment. Mohsen Mesgar and Michael Strube  
11:54–12:12 Deep Attentive Sentence Ordering Network. Baiyun Cui, Yingming Li, Ming Chen and Zhongfei Zhang  
12:12–12:30 Getting to "Hearer-old": Charting Referring Expressions Across Time. Ieva Staliūnaitė, Hannah Rohde, Bonnie Webber and Annie Louis  
10D: Evolution / Sociolinguistics
11:00 – 12:30
Hall 100 / Hall 400

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Chair: David Jurgens
11:00–11:18 Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline. Ian Stewart and Jacob Eisenstein  
11:18–11:36 Analyzing Correlated Evolution of Multiple Features Using Latent Representations. Yugo Murawaki  
11:36–11:54 Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting. Dirk Hovy and Christoph Purschke  
11:54–12:12 Characterizing Interactions and Relationships between People. Farzana Rashid and Eduardo Blanco  
12:12–12:30 Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions. Eric Holgate, Isabel Cachola, Daniel Preoţiuc-Pietro and Junyi Jessy Li  
10E: Machine Learning (Posters and Demos)
11:00 – 12:30
Grand Hall

Architectures and Models
A Probabilistic Annotation Model for Crowdsourcing Coreference. Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu and Massimo Poesio  
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. Steffen Eger, Paul Youssef and Iryna Gurevych  
Hard Non-Monotonic Attention for Character-Level Transduction. Shijie Wu, Pamela Shapiro and Ryan Cotterell  
Speed Reading: Learning to Read ForBackward via Shuttle. Tsu-Jui Fu and Wei-Yun Ma  
Modeling Localness for Self-Attention Networks. Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao and Tong Zhang  
Chargrid: Towards Understanding 2D Documents. Anoop R Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne and Jean Baptiste Faddoul  
Simple Recurrent Units for Highly Parallelizable Recurrence. Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai and Yoav Artzi  
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun and Jungang Xu  
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences. Yi Tay, Anh Tuan Luu and Siu Cheung Hui  
Spherical Latent Spaces for Stable Variational Autoencoders. Jiacheng Xu and Greg Durrett  
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. Minghua Zhang, Yunfang Wu, Weikang Li and Wei Li  
Word Mover's Embedding: From Word2Vec to Document Embedding. Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar and Michael J. Witbrock  
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain J Marshall and Byron C. Wallace  
Multi-Source Domain Adaptation with Mixture of Experts. Jiang Guo, Darsh Shah and Regina Barzilay  
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. Shib Sankar Dasgupta, Swayambhu Nath Ray and Partha Talukdar  
Text Classification and Topic Modeling
Multilingual Clustering of Streaming News. Sebastião Miranda, Arturs Znotins, Shay B. Cohen and Guntis Barzdins  
Multi-Task Label Embedding for Text Classification. Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang and Yaohui Jin  
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma and Xu Sun  
MCapsNet: Capsule Network for Text with Multi-Task Learning. Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang and Yaohui Jin  
Uncertainty-aware generative models for inferring document class prevalence. Katherine Keith and Brendan O'Connor  
Challenges of Using Text Classifiers for Causal Inference. Zach Wood-Doughty, Ilya Shpitser and Mark Dredze  
Siamese Network-Based Supervised Topic Modeling. Minghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie and Fu Lee Wang  
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model. Qile Zhu, Zheng Feng and Xiaolin Li  
Modeling Online Discourse with Coupled Distributed Topics. Akshay Srivatsan, Zachary Wojtowicz and Taylor Berg-Kirkpatrick  
Language Modeling
Direct Output Connection for a High-Rank Language Model. Sho Takase, Jun Suzuki and Masaaki Nagata  
Disfluency Detection using Auto-Correlational Neural Networks. Paria Jamshid Lou, Peter Anderson and Mark Johnson  
Pyramidal Recurrent Unit for Language Modeling. Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari and Hannaneh Hajishirzi  
On Tree-Based Neural Sentence Modeling. Haoyue Shi, Hao Zhou, Jiaze Chen and Lei Li  
Language Modeling with Sparse Product of Sememe Experts. Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin and Leyu Lin  
[TACL] Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction. Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Jason Naradowsky, Roi Reichart, Anna Korhonen  
[TACL] Low-Rank RNN Adaptation for Context-Aware Language Modeling. Aaron Jaech and Mari Ostendorf  
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition. Jan-Thorsten Peter, Eugen Beck and Hermann Ney  
APLenty: annotation tool for creating high-quality datasets using active and proactive learning. Minh-Quoc Nghiem and Sophia Ananiadou  
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. Egor Lakomkin, Sven Magg, Cornelius Weber and Stefan Wermter  
Term Set Expansion based NLP Architect by Intel AI Lab. Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak and Daniel Korat  
12:30 – 13:00
SIGDAT Business Meeting
13:00 – 13:45
Copper Hall

All attendees are encouraged to participate in the business meeting.
Short Papers IV (Orals & Posters)
11A: Analyzing Models
13:45 – 14:45
Gold Hall

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Chair: Luke Zettlemoyer
13:45–13:57 A Neural Model of Adaptation in Reading. Marten van Schijndel and Tal Linzen  
13:57–14:09 Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. John Lalor, Hao Wu, Tsendsuren Munkhdalai and Hong Yu  
14:09–14:21 Lexicosyntactic Inference in Neural Models. Aaron Steven White, Rachel Rudinger, Kyle Rawlins and Benjamin Van Durme  
14:21–14:33 Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models. Sedtawut Watcharawittayakul, Mingbin Xu and Hui Jiang  
14:33–14:45 The Importance of Being Recurrent for Modeling Hierarchical Structure. Ke Tran, Arianna Bisazza and Christof Monz  
11B: Sentiment II
13:45 – 14:45
Copper Hall

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Chair: Thamar Solorio
13:45–13:57 Joint Learning for Targeted Sentiment Analysis. Dehong Ma, Sujian Li and Houfeng Wang  
13:57–14:09 Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. Kalpesh Krishna, Preethi Jyothi and Mohit Iyyer  
14:09–14:21 A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. Xiangju Li, Kaisong Song, Shi Feng, Daling Wang and Yifei Zhang  
14:21–14:33 Modeling Empathy and Distress in Reaction to News Stories. Sven Buechel, Anneke Buffone, Barry Slaff, Lyle Ungar and Joao Sedoc  
14:33–14:45 Interpretable Emoji Prediction via Label-Wise Attention LSTMs. Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados, Steven Schockaert and Horacio Saggion  
11C: Machine Translation IV
13:45 – 14:45
Silver Hall / Panoramic Hall

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Chair: Taro Watanabe
13:45–13:57 A Tree-based Decoder for Neural Machine Translation. Xinyi Wang, Hieu Pham, Pengcheng Yin and Graham Neubig  
13:57–14:09 Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. Chenze Shao, Xilin Chen and Yang Feng  
14:09–14:21 Exploring Recombination for Efficient Decoding of Neural Machine Translation. Zhisong Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita and Hai Zhao  
14:21–14:33 Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. Samuel Läubli, Rico Sennrich and Martin Volk  
14:33–14:45 Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point. Liane Guillou and Christian Hardmeier  
11D: QA / Knowledge Graphs
13:45 – 14:45
Hall 100 / Hall 400

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Chair: Benjamin Roth
13:45–13:57 FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation. Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu and Maosong Sun  
13:57–14:09 A strong baseline for question relevancy ranking. Ana Gonzalez, Isabelle Augenstein and Anders Søgaard  
14:09–14:21 Learning Sequence Encoders for Temporal Knowledge Graph Completion. Alberto Garcia-Duran, Sebastijan Dumančić and Mathias Niepert  
14:21–14:33 Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching. Weiyi Lu and Thien Huu Nguyen  
14:33–14:45 Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution. Hongyin Luo and Jim Glass  
11E: Short Posters IV
13:45 – 14:45
Grand Hall

State-of-the-art Chinese Word Segmentation with Bi-LSTMs. Ji Ma, Kuzman Ganchev and David Weiss  
Sanskrit Sandhi Splitting using seq2(seq)2. Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran and Senthil Mani  
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. Zhiqing Sun and Zhi-Hong Deng  
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs. Daniel Kondratyuk, Tomáš Gavenčiak, Milan Straka and Jan Hajič  
Recovering Missing Characters in Old Hawaiian Writing. Brendan Shillingford and Oiwi Parker Jones  
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. Sudhanshu Kasewa, Pontus Stenetorp and Sebastian Riedel  
Modeling Input Uncertainty in Neural Network Dependency Parsing. Rob van der Goot and Gertjan van Noord  
Parameter sharing between dependency parsers for related languages. Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein and Anders Søgaard  
Grammar Induction with Neural Language Models: An Unusual Replication. Phu Mon Htut, Kyunghyun Cho and Samuel Bowman  
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. Gozde Gul Sahin and Mark Steedman  
Lexical Semantics
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao and Shou-de Lin  
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation. Akira Utsumi  
Learning Gender-Neutral Word Embeddings. Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang and Kai-Wei Chang  
Learning Concept Abstractness Using Weak Supervision. Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki and Noam Slonim  
Word Sense Induction with Neural biLM and Symmetric Patterns. Asaf Amrami and Yoav Goldberg  
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. Jamie Kiros and William Chan  
Similarity-Based Reconstruction Loss for Meaning Representation. Olga Kovaleva, Anna Rumshisky and Alexey Romanov  
What can we learn from Semantic Tagging?. Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze and Johan Bos  
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop. Rujun Han, Michael Gill, Arthur Spirling and Kyunghyun Cho  
Classifying Referential and Non-referential It Using Gaze. Victoria Yaneva, Le An Ha, Richard Evans and Ruslan Mitkov  
Semantic Parsing and Semantic Inference
When data permutations are pathological: the case of neural natural language inference. Natalie Schluter and Daniel Varab  
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. Dongyeop Kang, Tushar Khot, Ashish Sabharwal and Peter Clark  
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification. Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu and Buzhou Tang  
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. Reza Ghaeini, Xiaoli Fern and Prasad Tadepalli  
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. Sanket Vaibhav Mehta, Jay Yoon Lee and Jaime Carbonell  
Identifying Domain Adjacent Instances for Semantic Parsers. James Ferguson, Janara Christensen, Edward Li and Edgar Gonzàlez  
Mapping natural language commands to web elements. Panupong Pasupat, Tian-Shun Jiang, Evan Liu, Kelvin Guu and Percy Liang  
14:45 – 15:00
Keynote III: "The Moment of Meaning and the Future of Computational Semantics"
Johan Bos (University of Groningen)
15:00 – 16:00
Gold Hall / Copper Hall / Silver Hall / Hall 100

There are many recent advances in semantic parsing: we see a rising number of semantically annotated corpora and there is exciting technology (such as neural networks) to be explored. In this talk I will discuss what role computational semantics could play in future natural language processing applications (including fact checking and machine translation). I will argue that we should not just look at semantic parsing, but that things can get really interesting when we can use language-neutral meaning representations to draw (transparent) inferences. The main ideas will be exemplified by the parallel meaning bank, a new corpus comprising texts annotated with formal meaning representations for English, Dutch, German and Italian.

Coffee Break
16:00 – 16:30
Best Paper Awards and Closing
16:30 – 18:00
Gold Hall / Copper Hall / Silver Hall / Hall 100

16:30–16:42 How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. Divyansh Kaushik and Zachary C. Lipton  
16:42–17:00 MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan and Milica Gasic  
17:00–17:18 Linguistically-Informed Self-Attention for Semantic Role Labeling. Emma Strubell, Patrick Verga, Daniel Andor, David Weiss and Andrew McCallum  
17:18–17:36 Phrase-Based & Neural Unsupervised Machine Translation. Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer and Marc'Aurelio Ranzato  
  Include plenary sessions in schedule
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