28.5305, Calls: Computational Linguistics/Australia

[The LINGUIST List]

LINGUIST List: Vol-28-5305. Thu Dec 14 2017. ISSN: 1069 - 4875.

Subject: 28.5305, Calls: Computational Linguistics/Australia

Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Helen Aristar-Dry, Robert Coté,
                                   Michael Czerniakowski)
Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           http://funddrive.linguistlist.org/donate/

Editor for this issue: Kenneth Steimel <ken at linguistlist.org>
================================================================


Date: Thu, 14 Dec 2017 15:23:36
From: Simon Mille [simon.mille at upf.edu]
Subject: Workshop on Multilingual Surface Realization

 
Full Title: Workshop on Multilingual Surface Realization 
Short Title: MSR-WS 

Date: 19-Jul-2018 - 20-Jul-2018
Location: Melbourne, Australia 
Contact Person: Simon Mille
Meeting Email: msrws18 at upf.edu
Web Site: http://taln.upf.edu/pages/msr2018-ws/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 08-Apr-2018 

Meeting Description:

The first workshop on multilingual surface realization aims at bringing
together people who are interested in surface-oriented Natural Language
Generation problems such as word order determination, inflection, functional
word determination, paraphrasing, etc. It will accomodate for the presentation
of the results of the Surface Realization Shared Task 2018 and of a number of
technichal papers on the topic. 

The workshop will be held at ACL'18 in Melbourne, Australia, on July 19-20
2018.


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. 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.

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

Submission instructions will be sent out at a later date.

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

Organizers:

Simon Mille, Bernd Bohnet, Leo Wanner, Anya Belz, Emily Pitler




------------------------------------------------------------------------------

*****************    LINGUIST List Support    *****************
Please support the LL editors and operation with a donation at:
            http://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-28-5305	
----------------------------------------------------------