Appel: Deadline Extension (Jan 30), EACL 2014 Workshop on Multiword Expressions (MWE 2014)

[Thierry Hamon]

Date: Wed, 22 Jan 2014 16:31:56 +0100
From: Agata Savary <agata.savary at univ-tours.fr>
Message-ID: <52DFE46C.6080003 at univ-tours.fr>
X-url: http://multiword.sourceforge.net/mwe2014


Apologies for multiple postings
-----------------------

CfP Extended Deadline: January 30, 2014

The 10th Workshop on Multiword Expressions (MWE 2014)
http://multiword.sourceforge.net/mwe2014

Workshop at EACL 2014 (Gothenburg, Sweden), April 26-27, 2014

Endorsed by the Special Interest Group on the Lexicon of the Association
for Computational Linguistics (SIGLEX; http://www.siglex.org/); SIGLEX’s
Multiword Expressions Section (SIGLEX-MWE;
http://multiword.sourceforge.net/PHITE.php?sitesig=MWE); and PARSEME,
European IC1207 COST Action (http://www.parseme.eu): PARSEME will fund
travel and stay for at least 20 participants from the Action’s member
countries (the grant application procedure will be published shortly)

Submission deadline:
Long & short papers - January 30, 2014 at 11:59pm GMT -12 hours
-------------------------
Call For Papers

Under the denomination "multiword expression", one assumes a wide range
of linguistic constructions such as idioms (“storm in a teacup”, “sweep
under the rug”), fixed phrases (“in vitro”, “by and large”, “rock'n
roll”), noun compounds (“olive oil”, “laser printer”), compound verbs
(“take a nap”, “bring about”), etc. While easily mastered by native
speakers, their interpretation poses a major challenge for computational
systems, due to their flexible and heterogeneous nature.

For a start, MWEs are not nearly as frequent in NLP resources as they
are in real-world text, and this problem of coverage may impact the
performance of many NLP tasks. Moreover, treating MWEs also involves
problems like determining their semantics, which is not always
compositional (“to kick the bucket” meaning “to die”). In sum, MWEs are
a key issue and a current weakness for natural language parsing and
generation, as well as real-life applications depending on language
technology, such as machine translation, just to name a prominent one
among many. Thanks to the joint efforts of researchers from several
fields working on MWEs, significant progress has been made in recent
years, especially concerning the construction of large-scale language
resources.  For instance, there is a large number of recent papers which
focus on acquisition of MWEs from corpora, and others that describe a
variety of techniques to find paraphrases for MWEs. Current methods use
a plethora of tools such as association measures, machine learning,
syntactic patterns, web queries, etc. A considerable body of techniques,
resources and tools to perform these tasks are now available, and are
indicative of the growing importance of the field within the NLP
community.

Many of these advances are described as part of the annual workshop on
MWEs, which attracts the attention of an ever-growing community working
on a variety of languages and MWE types. The workshop has been held
since 2001 in conjunction with major computational linguistics
conferences (ACL, EACL, NAACL, COLING, LREC), providing an important
venue for the community to interact, share resources and tools and
collaborate on efforts for advancing the computational treatment of
MWEs. Additionally, special issues on MWEs have been published by
leading journals in computational linguistics. The latest such effort is
the special issue on “Multiword Expressions: from Theory to Practice and
Use”, which has recently been published by the ACM Transactions on
Speech and Language Processing
(http://multiword.sourceforge.net/tslp2011si).

MWE 2014 will be the 10th event in the series. We will be interested in
major challenges in the overall process of MWE treatment, both from the
theoretical and the computational viewpoint, focusing on original
research related (but not limited) to the following topics:

* Manually and automatically constructed resources
* Representation of MWEs in dictionaries and ontologies
* MWEs and user interaction
* Multilingual acquisition
* Multilingualism and MWE processing
* Models of first and second language acquisition of MWEs
* Crosslinguistic studies on MWEs
* The role of MWEs in the domain adaptation of parsers
* Integration of MWEs into NLP applications
* Evaluation of MWE treatment techniques
* Lexical, syntactic or semantic aspects of MWEs

The workshop will feature a “Special Track on Parsing and MWEs”
dedicated to “deep” parsing of MWEs, inviting submissions on the
following and related challenges:

* Lexicon-grammar interface: representing, at the lexical level,
  phenomena such as agreement, discontinuity and free word order;
  construction of MWE lexicons which would be easily convertible and
  maximally reusable in different parsing frameworks.

* “Deep” parsing techniques for MWEs: optimal representation of MWEs
  within linguistic frameworks, such CCG, HPSG, LFG, TAG, minimalism,
  etc; processing MWEs before, during or after parsing; representing the
  semantics of MWEs.

* Hybrid parsing of MWEs: combining data-driven and knowledge-based
  approaches for efficient and linguistically precise parsers; using
  unannotated data for improving models based on annotated data.

* Annotating MWEs in treebanks: MWE-aware methodologies of treebank
  construction, and their increased usability in parsing.

This special track is endorsed by PARSEME, European IC1207 COST Action,
dedicated to parsing and MWEs (www.parseme.eu). PARSEME will fund travel
and stay for at least 20 participants from the Action’s member countries
(the grant application procedure will be published shortly). A separate
time slot will be allocated to the special track within the workshop.
Authors may submit papers either to the special track or to the regular
workshop. They should follow common submission instructions.

Submission modalities

For MWE 2014, we will accept the following two types of submissions:

Regular long papers (8 content pages + 1 page for references): Long
papers should report on solid and finished research including new
experimental results, resources and/or techniques.
Regular short papers (4 content pages + 1 page for references): Short
papers should report on small experiments, focused contributions,
ongoing research, negative results and/or philosophical discussion.

The reported research should be substantially original. The 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. All submissions must be in PDF format and must follow the EACL
2014 formatting requirements (available at
http://www.eacl2014.org/files/eacl-2014-styles.zip). We strongly advise
the use of the provided Word or LaTeX template files.

Reviewing will be double-blind, and thus no author information should be
included in the papers; self-reference should be avoided as well.

Resources submitted with the papers should be anonymized for submission.
Papers and/or resources that do not conform to these requirements will
be rejected without review. Accepted papers will appear in the workshop
proceedings, where no distinction will be made between papers presented
orally or as posters.

Submission and reviewing will be electronic, managed by the START
system:

https://www.softconf.com/eacl2014/MWE/

Submissions must be uploaded onto the START system by the submission
deadline:
January 30th, 2014 (11:59pm GMT -12 hours)

Please choose the appropriate submission type from the starting
submission page, according to the category of your paper.

Important dates

30 January 2014: Long & short paper submission deadline 11:59pm GMT -12 hours
20 February 2014: Notification of Acceptance
03 March 2014: Camera-ready papers due
26-27 April 2014: Workshop Dates

Program Committee

Iñaki Alegria, University of the Basque Country (Spain)
Dimitra Anastasiou, University of Bremen (Germany)
Doug Arnold, University of Essex (UK)
Eleftherios Avramidis, DFKI GmbH (Germany)
Tim Baldwin, University of Melbourne (Australia)
Núria Bel, Universitat Pompeu Fabra (Spain)
Chris Biemann, Technische Universität Darmstadt (Germany)
Francis Bond, Nanyang Technological University (Singapore)
Lars Borin, University of Gothenburg (Sweden)
António Branco, University of Lisbon (Portugal)
Miriam Butt, Universität Konstanz (Germany)
Aoife Cahill, ETS (USA)
Ken Church, IBM Research (USA)
Matthieu Constant, Université Paris-Est Marne-la-Vallée (France)
Paul Cook, University of Melbourne (Australia)
Béatrice Daille, Nantes University (France)
Koenraad De Smedt, University of Bergen (Norway)
Gaël Dias, University of Caen Basse-Normandie (France)
Gülşen Eryiğit, Istanbul Technical University (Turkey)
Tomaž Erjavec, Jožef Stefan Institute (Slovenia)
Joaquim Ferreira da Silva, New University of Lisbon (Portugal)
Roxana Girju, University of Illinois at Urbana-Champaign (USA)
Chikara Hashimoto, National Institute of Information and Communications Technology (Japan)
Ulrich Heid, Universität Hildesheim (Germany)
Kyo Kageura, University of Tokyo (Japan)
Su Nam Kim, Monash University (VIC, Australia)
Ioannis Korkontzelos, University of Manchester (UK)
Brigitte Krenn, Austrian Research Institute for Artificial Intelligence (Austria)
Cvetana Krstev, University of Belgrade (Serbia)
Marie-Catherine de Marneffe, The Ohio State University (USA)
Takuya Matsuzaki, National Institute of Informatics (Japan)
Preslav Nakov, Qatar Computing Research Institute (Qatar)
Malvina Nissim, University of Bologna (Italy)
Joakim Nivre, Uppsala University (Sweden)
Diarmuid Ó Séaghdha, University of Cambridge (UK)
Jan Odijk, University of Utrecht (The Netherlands)
Yannick Parmentier, Université d'Orléans (France)
Pavel Pecina, Charles University in Prague (Czech Republic)
Scott Piao, Lancaster University (UK)
Adam Przepiórkowski, Institute of Computer Science, Polish Academy of Sciences (Poland)
Victoria Rosén, University of Bergen (Norway)
Carlos Ramisch, Aix-Marseille University (France)
Manfred Sailer, Goethe University Frankfurt am Main (Germany)
Magali Sanches Duran, University of São Paulo (Brazil)
Violeta Seretan, University of Geneva (Switzerland)
Ekaterina Shutova, University of California, Berkeley (USA)
Jan Šnajder, University of Zagreb (Croatia)
Pavel Straňák, Charles University in Prague (Czech Republic)
Sara Stymne, Uppsala University (Sweden)
Stan Szpakowicz, University of Ottawa (Canada)
Beata Trawinski, Institut für Deutsche Sprache (IDS), Mannheim (Germany)
Yulia Tsvetkov, Carnegie Mellon University (USA)
Yuancheng Tu, Microsoft (USA)
Ruben Urizar, University of the Basque Country (Spain)
Gertjan van Noord, University of Groningen (The Netherlands)
Aline Villavicencio, Federal University of Rio Grande do Sul (Brazil)
Veronika Vincze, Hungarian Academy of Sciences (Hungary)
Martin Volk, University of Zurich (Switzerland)
Tom Wasow, Stanford University (USA)
Shuly Wintner, University of Haifa (Israel)
Dekai Wu, The Hong Kong University of Science & Technology (Hong Kong)

Workshop Organizers

Valia Kordoni (Humboldt-Universität zu Berlin, Germany)
Markus Egg (Humboldt-Universität zu Berlin, Germany)
Agata Savary (Université François Rabelais Tours, France; Special Track Organiser)
Eric Wehrli (Université de Genève, Switzerland; Special Track Organiser)
Stefan Evert (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)

Contact

For any inquiries regarding the workshop please send an email to
mweworkshop.eacl2014 at gmail.com

-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version       : 
Archives                 : http://listserv.linguistlist.org/archives/ln.html
                                http://liste.cines.fr/info/ln

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  : http://www.atala.org/

ATALA décline toute responsabilité concernant le contenu des
messages diffusés sur la liste LN
-------------------------------------------------------------------------