Hosting the Surface Realisation Shared Task 2018: http://taln.upf.edu/pages/msr2018-ws/SRST.html<redir.aspx?REF=SB0cAh_NPGfdvN4gSvGFUp4w6CvjHreRGPm0nZ8dxTjIJgMkmorVCAFodHRwOi8vdGFsbi51cGYuZWR1L3BhZ2VzL21zcjIwMTgtd3MvU1JTVC5odG1s>
*** Second Call for Workshop Papers ***
============== Important dates ==============
Apr 8, 2018 (11:59 PM GMT -12:00) : Workshop papers due May 7, 2018 : Notification of acceptance May 28, 2018 : Camera-ready papers due Jul 19-20, 2018 : Workshop dates
========== Submissions ==========
We invite full papers (8 pages) and short papers (4 pages); long and short papers have unlimited references.
To encourage inclusiveness and the presentation of speculative and recent work, inclusion in the conference proceedings will be made optional. The author’s preference should be indicated with the final submission.
Submissions must be in PDF format, using the Softconf START conference management system : https://www.softconf.com/acl2018/MSR/user/scmd.cgi?scmd=submitNew<UrlBlockedError.aspx> 
We strongly recommend consulting ACL new policies for submission, review, and citation: https://www.aclweb.org/portal/content/new-policies-submission-review-and.<UrlBlockedError.aspx>.. .
Submissions must conform to the official style guidelines. Style files and other information about paper formatting requirements are available on the conference website, http://acl2018.org/call-for-papers/<UrlBlockedError.aspx> .
============ Call for papers ============
Natural Language Generation (NLG) is in the ascendant both as a stand-alone data-to-text or text-to-text task and as part of downstream applications (see, e.g., abstractive summarization, dialogue-based interaction, question answering, etc.). However, when compared to, e.g., parsing or machine translation, NLG still lags behind in terms of theoretical advances. Thus, while recent years witnessed a shift of the processing paradigm in these areas from traditional supervised machine learning techniques to deep learning techniques, NLG did not arrive there fully yet. Similarly, NLG still does not make full use of the available resources in the way, e.g., parsing does. For instance, the multilingual Universal Dependencies (UD) dataset has already been used for the CoNLL'17 parsing shared task. This dataset facilitates the development of large scale applications that work potentially across all of the UD treebank languages in a uniform fashion.
MSR-WS aims to change the situation and put NLG, and, in particular, surface generation, onto the main stream research agenda of Computational Linguistics, bringing together communities that hardly collaborated so far. It will provide a forum for the presentation of the results of the currently open multilingual Surface Realization Shared Task 2018 (SR’18) and of high quality papers on surface realization and related topics.
MSR-WS solicits contributions on all topics that are related to surface realization in NLG. Sought are presentations of cutting edge approaches that address problems of surface-oriented generation such as grammatical and/or information structure-driven word order determination, inflection, functional word determination, paraphrasing, etc. The presented works are expected to be a clear contribution to the progress in robust multilingual surface generation, i.e., be language-independent or easily portable from one language to another and clearly scalable. The topics of interest include, but are not limited to:
* Linearization in NLG
* Multilingual approaches to surface realization
* Function word generation
* Inflection in NLG
* Joint generation from abstract representations
* Surface-oriented text simplification
* Surface-oriented spoken language generation
* Application of surface realization for grammatical error correction
* NLG in surface-oriented paraphrasing
* Deep learning approaches to NLG
==================== Programme Committee ====================
Miguel Ballesteros, IBM Research, USA Anders Björkelund, University of Stuttgart, Germany Johan Bos, University of Groningen, Netherlands Robert Dale, Macquarie University, Australia Katja Filipova, Google Research, Switzerland Claire Gardent, CNRS, LORIA, France Kim Gerdes, Sorbonne Nouvelle, France Yannis Konstas, Heriot Watt University, UK Emiel Krahmer, Tilburg University, Netherlands Mirella Lapata, University of Edinburgh, UK Jonathan May, Information Sciences Institute, USA David McDonald, Sift Inc., USA Ryan McDonald, Google Research, USA Detmar Meurers, University of Tübingen, Germany Alexis Nasr, University of Aix Marseille, France Joakim Nivre, Uppsala University, Sweden Stephan Oepen, University of Oslo, Norway Horacio Saggion, Pompeu Fabra University, Spain Lucia Specia, University of Sheffield, UK Kees Van Deemter, University of Aberdeen, UK Sina Zarrieß, University of Bielefeld, Germany Yue Zhang, Singapore University of Technology and Design, Singapore
Simon Mille, TALN Pompeu Fabra University,Barcelona, Spain Bernd Bohnet, Google Research, London, UK Leo Wanner, TALN Pompeu Fabra University and ICREA, Barcelona, Spain Anya Belz, University of Brighton, Brighton, UK Emily Pitler, Google Research, New York, NY, USA
Please send us an email at msrws18 at upf.edu if you have any question.
Read more: https://www.aclweb.org/portal/content/workshop-multilingual-surface-realization<UrlBlockedError.aspx>
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