2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics Online June 6–11, 2021 Please fill out the short post-conference survey to help us better organize future conferences. The survey takes ~4 minutes to complete. Note that there will be no email receipt once you hit submit, and please only submit once. Aggregate statistics for non-text answers may b

NAACL-HLT 2018 Industry Track: Call for Papers Description of the Industry Track Language technologies and their applications are an integral and critical part of our daily lives.  The development of many of these technologies trace their roots to academic and industrial research laboratories where researchers invented a plethora of algorithms, benchmarked them against shared datasets and perfecte

Welcome Registration ChildCare Calls Chairs Blog Program Participants Sponsors Organization The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies will be held in New Orleans, June 1 to June 6, 2018 at the Hyatt Regency New Orleans hotel. NEW Dear NAACL 2018 Attendees, Please take the time to give us feedback via this 

株式会社Studio Ousia（本社：神奈川県藤沢市、代表取締役：渡邉安弘、山田育矢）で開発中の人工知能による質問応答システムが、自然言語処理における著名な国際会議であるNAACL (North American Chapter of the Association for Computational Linguistics) 内で開催されたQ&A形式のクイズコンペティション1 において、他のシステムに大きな差をつけて優勝しました。 本コンペティションは、該当分野で世界的に著名な米コロラド大学ボルダー校の研究チームが開催しているもので、クイズボウルと呼ばれるクイズゲームにおける回答精度を競いました。また、本コンペティションには、世界中から17チームが参加しました。 当社のシステムは、85問の質問中、64問に正解し、二位以降のシステムに回答精度において大きな差をつけました。また、二位のシス

Best papers at NAACL HLT 2015 Congratulations to the best paper award winners. This year NAACL HLT 2015 will have three best papers. One best long paper and two best student papers. The best paper awards were chosen by the best paper award committee which included Claire Cardie, Daniel Gildea, Daniel Marcu, Fernando Pereira and the program co-chairs: Joyce Chai and Anoop Sarkar who decided on the

455: Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework, by Ivan Titov and Ehsan Khoddam We introduce a new approach to unsupervised estimation of feature-rich semantic role labeling models. Our model consists of two components: (1) an encoding component: a semantic role labeling model which predicts roles given a rich set of syntactic and lexical feature

List of accepted papers 9 TACL Posters 10 TACL Talks 55 Long Posters 62 Long Talks 45 Short Posters 24 Short Talks At the suggestion of the TACL co-editors-in-chief, the decision between talk and poster for TACL papers was made using random selection, with the exception of one paper that specifically requested a poster presentation. The decision between talk and poster for the NAACL 2015 long and

Deep Learning for Natural Language Processing (without Magic) A tutorial given at NAACL HLT 2013. Based on an earlier tutorial given at ACL 2012 by Richard Socher, Yoshua Bengio, and Christopher Manning. By Richard Socher and Christopher Manning Slides NAACL2013-Socher-Manning-DeepLearning.pdf (24MB) - 205 slides. Abstract Machine learning is everywhere in today's NLP, but by and large machine lea

Workshop on Vector Space Modeling for NLP NAACL 2015, Denver, Colorado (June 5, 2015) Modern NLP started with methods based on pure symbolic analysis of language. Statistical methods were introduced to NLP in its current form in the 1980s/1990s, allowing "soft" reasoning about language, and made NLP more data-driven. Over the last decade another step has been taken in this direction -- it was prop