[Corpora-List] CFP: NAACL Workshop on Semantics-driven MT

Kevin Duh kevinduh at is.naist.jp
Thu Mar 10 20:27:09 CET 2016


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Deadline Extension and Final Call for Papers

The 2nd Workshop on Semantics-Driven Machine Translation (SedMT)

San Diego, California, USA; June 16, 2016 (co-located with NAACL)

http://hlt.suda.edu.cn/workshop/sedmt2016/ ********************************************************************

=============== Important Dates =============== Paper submission (extension): March 20, 2016 Notification of acceptance: March 25, 2016 Camera-ready papers due: April 7, 2016 Workshop: June 16, 2016

QTLeap Best Paper Award ------------------------ SedMT 2016 will award a best paper award to papers that advance MT with lexical semantics and deep language processing. The award is sponsored by QTLeap (http://qtleap.eu/), a 3-year European Union FP7 project, with the goal to research on deep language engineering approaches in view of breaking the way to translations of higher quality. The award will consist on a 500 voucher.

Invited Speakers (in alphabetical order) ---------------------------------------------- Johan Bos (University of Groningen) Kyunghyun Cho (New York University) Jan Hajic (Charles University in Prague) Martha Palmer (University of Colorado)

Overview ------------ It is widely recognized that machine translation inherently requires semantics to obtain meaning representations of source sentences and to generate meaning-preserving target translations. Recent years have witnessed a resurgent huge interest in exploring semantics for machine translation, e.g., employing lexical semantics for word sense and semantic role disambiguation in machine translation, using compositional semantics for phrasal translation, incorporating discourse semantics into document-level machine translation and so on. The emerging neural machine translation (NMT) is also naturally born as semantic machine translation since it heavily relies on distributional semantic representations.

This workshop seeks to build on the success of its precursor S2MT 2015 (http:// hlt.suda.edu.cn/workshop/s2mt/index.html), which was held in conjunction with ACL 2015 in Beijing. S2MT 2015 brought together a large number of researchers from the machine translation and semantics community. Its program included high-quality papers examining and exploring semantics in machine translation from different angles and perspectives. It also featured 4 keynote speeches covering topics that cross boundaries of semantics and machine translation, as well as a thought-provoking panel discussion on the gaps and challenges between semantics and statistical machine translation.

This workshop will continue efforts of promoting the shift of interest from syntax to semantics in machine translation, exploring new horizons and cultivating ideas of cutting-edge models and algorithms for semantic machine translation.

Topics --------- Topics of interest include, but are not limited to:

- Theoretic study on semantic machine translation - Semantic representations for machine translation - lexical semantics for machine translation - compositional semantics for machine translation - discourse semantics for machine translation - Distributional semantics for machine translation - Semantic knowledge based machine translation - Neural machine translation - New frameworks, models and algorithms for semantic machine translation - Semantically motivated machine translation evaluation and error analysis - Mining semantic knowledge from corpus for translation - Applications of semantic machine translation in related areas, e.g., cross-lingual information retrieval, speech translation

Submission Instructions ------------------------ We invite authors to submit the following 3 types of papers on topics listed above to the workshop: - Full papers (maximum 8 content pages + 2 pages for references) that report solid and

completed work with new experiments, findings and/or approaches. - Short papers (maximum 4 content pages + 2 pages for references) that report

- a small, focused contribution

- work in progress

- a negative result

- an interesting application nugget - Opinion papers (2-8 content pages + 2 pages for references) that provide

the authors' opinions/thoughts on semantics-driven machine translation from the following view

angles (but not limited to)

- a critical perspective

- future directions

- summary of past work

- comments on current work

Submitted papers should be substantially original and unpublished. The reviewing process will be double-blind. Therefore papers must not include authors' names and affiliations. Furthermore, self-references that reveal the authors' identity, e.g., "We previously showed (Smith, 1991) ..." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ..." Papers that do not conform to these requirements will be rejected without review. In addition, please do not post your submissions on the web until after the review process is complete.

Accepted papers will be presented orally or as posters. The decision as to which papers will be presented orally and which as posters will be made by the program committee based on the nature rather than on the quality of the work.

Multiple Submission Policy: Papers that have been or will be submitted to other meetings or publications are acceptable, but authors must indicate this information at submission time. If accepted, authors must notify the organizers (dyxiong at suda.edu.cn) as to whether the paper will be presented at the workshop or elsewhere.

Submission format: All submissions must be in PDF format and must follow the official NAACL 2016 style guidelines.

Submission website: https://www.softconf.com/naacl2016/SedMT2016/

Organizers ------------ Deyi Xiong (Soochow University) Kevin Duh (Johns Hopkins University) Eneko Agirre (University of the Basque Country) Nora Aranberri (University of the Basque Country) HoufengWang (Peking University)

Programme Committee -------------------- Rafael E. Banchs (Institute for Infocomm Research) Johan Bos (University of Groningen) Boxing Chen (National Research Council Canada) David Chiang (University of Notre Dame) Michael Goodman (Nanyang Technological University) Jan Hajic (Charles University in Prague) Zhongjun He (Baidu) Shujian Huang (Nanjing University) Kevin Knight (ISI) Philipp Koehn (Johns Hopkins University) Qun Liu (Dublin City University) Yang Liu (Tsinghua University) Chi-kiu Lo (National Research Council Canada) Wei Lu (Singapore University of Technology and Design) Zhengdong Lu (Noahs Ark Lab, Huawei Technologies) Minh-Thang Luong (Stanford University) Preslav Nakov (Qatar Computing Research Institute) Hwee-Tou Ng (National University of Singapore) Martha Palmer (University of Colorado) Lane Schwartz (University of Illinois) Khalil Sima'an (University of Amsterdam) Jinsong Su (Xiamen University) Hans Uszkoreit (Saarland University) Tong Xiao (Northeastern University) Frances Yung (Nara Institute of Science and Technology) Dongdong Zhang (Microsoft Research Asia) Jiajun Zhang (Chinese Academy of Sciences) Yue Zhang (Singapore University of Technology and Design)

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