EMNLP в моей рекламе не нуждается, конечно, но пусть будет для порядка.
First Call for Papers: EMNLP 2016
Conference on Empirical Methods in Natural Language Processing
Austin, Texas, USA
November 2-6, 2016
SIGDAT, the Association for Computational Linguistics’ special interest group on linguistic data and corpus-based approaches to NLP, is pleased to announce that EMNLP 2016 will be held on November 2–6, 2016, in Austin, Texas, USA. The conference includes three days of full paper presentations and invited talks, plus two days consisting of eight workshops and six tutorials.
The conference invites the submission of long and short papers related to empirical methods in natural language processing. Accepted papers will be presented as oral talks or posters. As in recent years, the conference will also include presentations of selected papers accepted by the Transactions of the ACL (http://www.transacl.org/).
This year, EMNLP is collocated with AMTA 2016, hosted by the Association for Machine Translation in the Americas, held from October 29 to November 2. Also in Austin, HCOMP 2016, the 4th AAAI Conference on Human Computation and Crowdsourcing, will be held from October 30 to November 3.
We invite you to join us!
=== Topics ===
We solicit papers on all areas of interest to the SIGDAT community and aligned fields, including but not limited to:
— Computational Psycholinguistics
— Dialogue and Interactive Systems
— Discourse Analysis
— Information Extraction
— Information Retrieval and Question Answering
— Language and Vision
— Linguistic Theories and Resources
— Machine Learning
— Machine Translation
— Multilinguality and Cross-linguality
— Segmentation, Tagging, and Parsing
— Sentiment Analysis and Opinion Mining
— Web, Social Media and Computational Social Science
— Spoken Language Processing
— Text Categorization and Topic Modeling
— Text Mining
=== Important Dates ===
Long Paper submission deadline: June 3, 2016
Short Paper submission deadline: June 3, 2016
Author response period: July 13-17, 2016
Acceptance notification: July 29, 2016
Camera-ready submission deadline: September 23, 2016
Workshops and tutorials: November 2 and 6, 2016
Main conference: November 3 — 5, 2016
All the above deadlines are 11:59pm Pacific Daylight Savings Time (UTC -7h).
=== Submission Information ===
Submissions will be online via SoftConf. Submission instructions will be announced on the conference website.
=== Long Papers ===
EMNLP 2016 long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Each submission will be reviewed by at least three program committee members. Each long paper submission consists of a paper of up to eight (8) pages of content, plus two pages for references; final versions of long papers will be given one additional page (up to 9 pages with unlimited pages for references) so that reviewers’ comments can be taken into account.
=== Short Papers ===
EMNLP 2016 also solicits short papers. Short paper submissions must describe original and unpublished work. While a short paper is not a shortened long paper, the characteristics of short papers include: a small, focused contribution; work in progress; a negative result; an opinion piece; an interesting application nugget. Each short paper submission consists of up to four (4) pages of content, plus 2 pages for references. Upon acceptance, short papers will be given five (5) pages in the proceedings and unlimited pages for references. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. Each short paper submission will be reviewed by at least three program committee members.
=== Formatting ===
Both long and short papers should follow the two-column format to be provided at the conference site. We reserve the right to reject submissions if the paper does not conform to these styles, including paper size and font size restrictions.
=== General Notes ===
As the reviewing will be blind, papers should not include the authors’ names and affiliations. Furthermore, self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith (1991) previously showed …”. Submissions that do not conform to these requirements will be rejected without review. Separate author identification information is required as part of the online submission process.
EMNLP 2016 encourages submitting software and data that is described in the paper as supplementary material. EMNLP 2016 also encourages reporting preprocessing decisions, model parameters, and other details necessary for the exact replication of the experiments described in the paper. Papers may be accompanied by supplementary material, consisting of software, data, pseudo-code, detailed proofs or derivations that do not fit into the paper, lists of features or feature templates, parameter specifications, and sample inputs and outputs for a system. The paper should not rely on the supplementary material: while the paper may refer to and cite the supplementary material and the supplementary material will be available to reviewers, they will not be asked to review or even download the supplementary material.
=== Multiple Submission Policy ===
Papers that have been or will be submitted to other meetings or publications must indicate this at submission time, and must be withdrawn from the other venues if accepted by EMNLP 2016. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to EMNLP 2016 must ensure that submissions do not overlap significantly (>25%) with each other in content or results.
Preprint servers such as arXiv.org and workshops that do not have published proceedings are not considered archival for purposes of submission. Authors must state in the online submission form the name of the workshop or preprint server and title of the non-archival version. The submitted version should be suitably anonymized and not contain references to the prior non-archival version. Reviewers will be told: «The author(s) have notified us that there exists a non-archival previous version of this paper with significantly overlapping text. We have approved submission under these circumstances, but to preserve the spirit of blind review, the current submission does not reference the non-archival version.» Reviewers are free to do what they like with this information.
=== Presentation requirement ===
All accepted papers must be presented at the conference to appear in the proceedings. At least one author of each accepted paper must register for EMNLP 2016. Accepted papers will be presented orally or as a poster (at the discretion of the program chairs based on the nature rather than the quality of the work). There will be no distinction in the proceedings between papers presented orally or as posters.
=== Organizing Committee ===
General Chair: Jian Su (Institute for Infocomm Research — I2R)
Organizing Committee: http://www.emnlp2016.net/
Xavier Carreras (Xerox Research Centre Europe) and Kevin Duh (Johns Hopkins University)
— Information Extraction, Information Retrieval, and Question Answering: Nate Chambers (United States Naval Academy), Ruihong Huang (Texas A&M University), Min-Yen Kan (National University of Singapore), Alan Ritter (The Ohio State University), Scott Wen-Tau Yih (Microsoft Research)
— Language and Vision: Sanja Fidler (University of Toronto), Julia Hockenmaier (University of Illinois at Urbana-Champaign)
— Linguistic Theories and Psycholinguistics: Suzanne Stevenson (University of Toronto)
— Machine Learning: Guillaume Bouchard (University College London), Kyunghyun Cho (New York University), Kuzman Ganchev (Google), Ariadna Quattoni (Xerox Research Centre Europe), Eric Ringger (Facebook)
— Machine Translation and Multilinguality: John DeNero (UC Berkeley), Alex Fraser (Ludwig-Maximilians-
Universitat Munchen), Yang Liu (Tsinghua University), Dekai Wu (Hong Kong University of Science and Technology)
— Segmentation, Tagging, and Parsing: Michael Collins (Columbia University), Liang Huang (Oregon State University), Daisuke Kawahara (Kyoto University), André Martins (Unbabel)
— Semantics: Yoav Artzi (Cornell Tech), Georgiana Dinu (IBM), Ed Grefenstette (Google DeepMind), Ray Mooney (University of Texas at Austin), Laura Rimell (University of Cambridge)
— Sentiment Analysis and Opinion Mining: Dirk Hovy (University of Copenhagen), Bing Liu (University of Illinois at Chicago), Saif Mohammad (National Research Council Canada)
— Social Media and Computational Social Science: Tim Baldwin (University of Melbourne), Smaranda Muresan (Columbia University)
— Spoken Language Processing: Brian Roark (Google), Geoff Zweig (Microsoft Research)
— Summarization, Generation, Discourse, Dialogue: Manfred Stede (Potsdam University), Michael Strube (Heidelberg Institute for Theoretical Studies), Lucy Vanderwende (Microsoft Research), Wei Xu (University of Pennsylvania)
— Text Mining and NLP Applications: Preslav Nakov (Qatar Computing Research Institute), Vivi Nastase (FBK), David Smith (Northeastern University), Joel Tetreault (Yahoo! Labs)