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Call For Papers
SIGDAT, the Association for Computational Linguistics’ Special Interest Group on linguistic data and corpus-based approaches to NLP, invites you to submit your papers to EMNLP 2018 (November 2 – November 4, 2018) in Brussels, Belgium.
We invite 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.
We solicit papers on all areas of interest to the SIGDAT community and aligned fields, including but not limited to:
- Language Models, Segmentation
- Morphological Analysis, POS Tagging and Sequence Labeling
- Syntactic and Semantic Parsing
- Lexical and Compositional Semantics
- Discourse and Coreference
- Dialogue and Interactive Systems
- Narrative Understanding and Commonsense Reasoning
- Spoken Language Processing
- Text Mining
- Sentiment Analysis and Opinion Mining
- Information Retrieval, Question Answering
- Information Extraction
- Natural Language Generation
- Machine Translation
- Multilinguality and Cross-linguality
- Linguistic Theories and Resources
- Computational Psycholinguistics
- Multimodal and Grounded Language Processing
- Machine Learning for NLP
- Web, Social Media and Computational Social Science
- Ethics and Fairness in NLP
- Other NLP Applications
|Anonymity period begins||Sunday||April 22, 2018|
|Submissions due (long & short)||Tuesday||May 22, 2018|
|Author response period starts||Monday||July
|Author responses due||Friday||July
|Notification of acceptance||Friday||August
|Final versions of papers due||Monday||August 27, 2018|
|Workshops & tutorials||Wednesday – Thursday||October 31 – November 1, 2018|
|Main conference||Friday – Sunday||November 2 – November 4, 2018|
Note: All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h).
We will be accepting submissions online via START. The submission deadline for both long and short papers is May 22, 2018.
EMNLP uses a double-blind review process. Each submission will be reviewed by at least three program committee members. The review criteria are described in the EMNLP 2018 Review Form Commentary.
EMNLP 2018 long paper submissions must describe substantial, original, completed and unpublished work.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 unlimited pages for references; final versions of long papers will be given one additional page (up to nine pages with unlimited pages for references) so that reviewers’ comments can be taken into account.
EMNLP 2018 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 unlimited pages for references; final versions of short papers will be given one additional page (up to five pages in the proceedings and unlimited pages for references) so that reviewers’ comments can be taken into account. Each short paper submission will be reviewed by at least three program committee members.
IMPORTANT: Anonymity Period
EMNLP 2018 adopts ACL’s new policies for submission, review, and citation. Submissions that violate any of these policies will be rejected without review.
Most importantly, the policies define an anonymity period, which starts on April 22nd, 2018 (11:59pm PDT).
You may not make a non-anonymized version of your paper available to the general community (for example, by posting it on your home page or submitting it to arXiv) during the anonymity period. However, you may take such an action before the anonymity period begins, even if the paper actually becomes public after the anonymity period begins (for example, because arXiv makes papers public one or two days after receiving them).
You may not update a non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period.
You may make an anonymized version of your paper available, even during the anonymity period (for example, on OpenReview).
During the anonymity period, you may not update a non-anonymized version, advertise an anonymized or non-anonymized version on social media, or take any other action that would compromise double-blind reviewing during the anonymity period.
For the background of the new policies, refer to the online version.
Instructions for Double-Blind Review
To ensure anonymity, submissions and supplementary materials must 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 …”. Acknowledgments of funding or assistance must also be omitted. Submissions should not contain pointers to supplemental information on the web; any such material should be submitted as supplementary materials (see above). 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.
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 2018. 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 2018 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results.
Both long and short papers must follow the EMNLP 2018 two-column format, using the LaTeX style files or Word template. Please do not modify these style files, or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
Optional Supplementary Materials: Appendices, Software and Data
Each EMNLP 2018 submission can be accompanied by a single PDF appendix, one
.zip archive containing software, and one
.zip archive containing data. EMNLP 2018 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy.
All accepted papers must be presented at the conference in order to appear in the proceedings. At least one author of each accepted paper must register for EMNLP 2018. 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.
The conference will be preceded by two days of workshops and tutorials (October 31 – November 1, 2018). This website will continue to be updated with information on workshops, tutorials, the conference venue, traveling, etc.
- General Chair: Ellen Riloff (University of Utah)
- Program Chairs: David Chiang (University of Notre Dame), Julia Hockenmaier (University of Illinois) and Junichi Tsujii (Artificial Intelligence Research Center)
- Area Chairs:
- Information Extraction and Question Answering: Jordan Boyd-Graber, University of Maryland (senior chair); Isabelle Augenstein, University of Copenhagen; Ming-Wei Chang, Google; Doug Downey, Northwestern University; Ruihong Huang, Texas A&M University; Mausam, IIT Delhi; Makoto Miwa, Toyota Technological Institute; William Wang, University of California at Santa Barbara; Scott Yih, Allen Institute for Artificial Intelligence
- Text Mining and Information Retrieval: Alessandro Moschitti, University of Trento (senior chair); Sophia Ananiadou, University of Manchester; Hsin-Hsi Chen, National Taiwan University; Marius Pasca, Google; Xiang Ren, University of Southern California; Alan Ritter, Ohio State University; David Smith, Northeastern University
- Social Media, Computational Social Science, and Sentiment/Opinion Analysis: Kam-Fai Wong, Chinese University of Hong Kong (senior chair); Eiji Aramaki, Nara Institute of Science and Technology; Mona Diab, George Washington University; Yulan He, Aston University; Dirk Hovy, Bocconi University; Rada Mihalcea, University of Michigan; Alice Oh, KAIST; Wei Xu, Ohio State University
- Morphology, Syntax, and Psycholinguistics: Slav Petrov, Google (senior chair); Liang Huang, Oregon State University; Roger Levy, Massachusetts Institute of Technology; Stephan Oepen, University of Oslo; Emily Pitler, Google; Reut Tsarfaty, Open University of Israel
- Semantics: Massimo Poesio, Queen Mary University of London (senior chair); Omri Abend, Hebrew University of Jerusalem; Raffaella Bernardi, University of Trento; Michael Lewis, Facebook; Yulia Tsvetkov, Carnegie Mellon University; Benjamin Van Durme, Johns Hopkins University; Nianwen Xue, Brandeis University
- Discourse, Dialogue, Summarization, Generation, and Multimodal NLP: Yejin Choi, University of Washington (senior chair); Mohit Bansal, University of North Carolina; Grzegorz Chrupała, Tilburg University; Michel Galley, Microsoft; Haizhou Li, National University of Singapore; Fei Liu, University of Central Florida; Karen Livescu, Toyota Technological Institute - Chicago; Meg Mitchell, Google; Rashmi Prasad, Interactions; Xiaojun Wan, Peking University
- Machine Translation and Multilinguality: Philipp Koehn, Johns Hopkins University (senior chair); Arianna Bisazza, Leiden University; Qun Liu, Dublin City University; Yang Liu, Tsinghua University; Zhaopeng Tu, Tencent; Taro Watanabe, Google
- Machine Learning: Xavier Carreras, dMetrics (senior chair); Shay Cohen, University of Edinburgh; Kevin Gimpel, Toyota Technological Institute - Chicago; Stefan Riezler, Heidelberg University; Karl Stratos, Toyota Technological Institute - Chicago; Jun Suzuki, Tohoku University