Workshops & Co-located Events

Locations for each workshop will be added soon. Please refer to each individual event’s website for more details.

October 31 & November 1

[W1] WMT18

The The Third Conference on Machine Translation conference builds on a series of annual workshops and conferences on statistical machine translation, going back to 2006.

[W2] CoNLL

The Conference on Computational Natural Language Learning is a top-tier conference, yearly organized by SIGNLL (ACL’s Special Interest Group on Natural Language Learning).

October 31

[W3] LOUHI

The Ninth International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents.

[W4] ALW2

The last few years have seen a surge in abusive online behavior, with governments, social media platforms, and individuals struggling to cope with the consequences and to produce effective methods to combat it. The Second Workshop on Abusive Language Online bring researchers of various disciplines together to discuss approaches to abusive language.

[W5] SCAI

The Search-Oriented Conversational AI workshop aims to bring together AI/Deep Learning specialists on one hand and search/IR specialists on the other hand to lay the ground for search-oriented conversational AI and establish future directions and collaborations.

[W6] SIGMORPHON

The Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology organized by the ACL Special Interest Group on Computational Morphology and Phonology provides a forum for exchanging news of recent research developments and other matters of interest in computational morphology and phonology.

[W7] WASSA

The aim of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis is to continue the line of the previous editions, bringing together researchers in Computational Linguistics working on Subjectivity and Sentiment Analysis and researchers working on interdisciplinary aspects of affect computation from text.

[W8] SMM4H

The 3rd Workshop on Social Media Mining for Health Applications Workshop & Shared Task seeks to attract researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data for health informatics. It serves as a unique forum to discuss novel approaches to text and data mining methods that are applicable to social media data and may prove invaluable for health monitoring and surveillance.

November 1

[W9] BioASQ

The aim of Large-scale Biomedical Semantic Indexing and Question Answering workshop is to push the research frontier towards systems that use the diverse and voluminous information available online to respond directly to the information needs of biomedical scientists.

[W10] BlackboxNLP

The goal of the Analyzing and Interpreting Neural Networks for NLP workshop is to bring together people who are attempting to peek inside the neural network black box, taking inspiration from machine learning, psychology, linguistics and neuroscience.

[W11] FEVER

The First Workshop on Fact Extraction and VERification brings together researchers working on various tasks related to fact extraction and verification and also hosts the FEVER Challenge, an information verification shared task.

[W12] ARGMINING

The goal of the 5th International Workshop on Argument Mining is to provide a continuing forum to the last four years’ Argumentation Mining workshops at ACL and NAACL, the first research forum devoted to argumentation mining in all domains of discourse.

[W13] W-NUT

The 4th Workshop on Noisy User-generated Text focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays.

[W14] UDW-18

The Second Workshop on Universal Dependencies invites papers on all topics relevant to universal dependencies. Priority will be given to papers that adopt a cross-lingual perspective.