Final CFP & Deadline Extension: ACM TSLP Special Issue on MWEs

[Valia Kordoni]

Apologies for multiple copies

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         Final Call for Papers and Deadline Extension
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ACM Transactions on Speech and Language Processing

    	Special Issue on Multiword Expressions:

             	from Theory to Practice and Use

                   	multiword.sf.net/tslp2011si

** Extended Deadline for Submissions: June, 12th, 2012 **
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Call for Papers

Multiword expressions (MWEs) range over linguistic constructions like
idioms (a frog in the throat, kill some time), fixed phrases (per se,
by and large, rock'n roll), noun compounds (traffic light, cable car),
compound verbs (draw a conclusion, go by [a name]), etc. While easily
mastered by native speakers, their interpretation poses a major  
challenge
for computational systems, due to their flexible and heterogeneous  
nature.
Surprisingly enough, MWEs are not nearly as frequent in NLP resources
(dictionaries, grammars) as they are in real-word text, where they have
been reported to account for half of the entries in the lexicon of a  
speaker
and over 70% of the terms in a domain. Thus, MWEs are a key issue and
a current weakness for tasks like natural language parsing and  
generation,
as well as real-life applications such as machine translation.

In spite of several proposals for MWE representation ranging along the
continuum from words-with-spaces to compositional approaches connecting
lexicon and grammar, to date, it remains unclear how MWEs should be
represented in electronic dictionaries, thesauri and grammars. New
methodologies that take into account the type of MWE and its properties
are needed for efficiently handling manually and/or automatically  
acquired
expressions in NLP systems. Moreover, we also need strategies to  
represent
deep attributes and semantic properties for these multiword entries.  
While
there is no unique definition or classification of MWEs, most  
researchers
agree on some major classes such as named entities, collocations,  
multiword
terminology and verbal expressions. These, though, are very  
heterogeneous
in terms of syntactic and semantic properties, and should thus be  
treated
differently by applications. Type-dependent analyses could shed some  
light
on the best methodologies to integrate MWE knowledge in our analysis and
generation systems.

Evaluation is also a crucial aspect for MWE research. Various evaluation
techniques have been proposed, from manual inspection of top-n  
candidates
to classic precision/recall measures. The use of tools and datasets  
freely
available on the MWE community website (multiword.sf.net/PHITE.php? 
sitesig=FILES)
is encouraged when evaluating MWE treatment. However, application- 
oriented
techniques are needed to give a clear indication of whether the  
acquired MWEs
are really useful. Research on the impact of MWE handling in  
applications such
as parsing, generation, information extraction, machine translation,  
summarization
can help to answer these questions.

We call for papers that present research on theoretical and practical  
aspects
of the computational treatment of MWEs, specifically focusing on MWEs in
applications such as machine translation, information retrieval and  
question
answering. We also strongly encourage submissions on processing MWEs in
the language of social media and micro-blogs. The focus of the special  
issue,
thus, includes, but is not limited to the following topics:

* MWE treatment in applications such as the ones mentioned above;
* Lexical representation of MWEs in dictionaries and grammars;
* Corpus-based identification and extraction of MWEs;
* Application-oriented evaluation of MWE treatment;
* Type-dependent analysis of MWEs;
* Multilingual applications (e.g. machine translation, bilingual  
dictionaries);
* Parsing and generation of MWEs, especially, processing of MWEs in the
   language of social media and micro-blogs;
* MWEs and user interaction;
* MWEs in linguistic theories like HPSG, LFG and minimalism and their
   contribution to applications;
* Relevance of research on first and second language acquisition of  
MWEs for
   applications;
* Crosslinguistic studies on MWEs.

Submission Procedure

Authors should follow the ACM TSLP manuscript preparation guidelines
described on the journal web site http://tslp.acm.org and submit an
electronic copy of their complete manuscript through the journal  
manuscript
submission site http://mc.manuscriptcentral.com/acm/tslp. Authors are  
required
to specify that their submission is intended for this special issue by  
setting the submission type to "Special Issue on Multiword  
Expressions" on the first step of submission via the online system.  
Additionally, we recommend the inclusion of the note "Submitted for  
the special issue on Multiword Expressions" on the first page of the  
manuscript and in the field "Author's Cover Letter".

Schedule

Extended Submission deadline: June, 12th, 2012
Notification of acceptance: October, 13th, 2012
Final manuscript due: December, 28th, 2012

Program Committee
*      Iñaki Alegria, University of the Basque Country (Spain)
*      Dimitra Anastasiou, University of Bremen (Germany)
*      Eleftherios Avramidis, DFKI GmbH (Germany)
*      Timothy Baldwin, University of Melbourne (Australia)
*      Francis Bond, Nanyang Technological University  (Singapore)
*      Aoife Cahill, ETS (USA)
*      Helena Caseli, Federal University of Sao Carlos (Brazil)
*      Yu Tracy Chen, DFKI GmbH (Germany)
*      Paul Cook, University of Melbourne (Australia)
*      Ann Copestake, University of Cambridge (UK)
*      Béatrice Daille, Nantes University (France)
*      Gaël Dias, University of Caen Basse-Normandie (France)
*      Stefan Evert, University of Darmstadt (Germany)
*      Roxana Girju, University of Illinois at Urbana-Champaign (USA)
*      Chikara Hashimoto, National Institute of Information and  
Communications Technology (Japan)
*      Kyo Kageura, University of Tokyo (Japan)
*      Martin Kay, Stanford University and Saarland University (USA &  
Germany)
*      Su Nam Kim, University of Melbourne (Australia)
*      Dietrich Klakow, Saarland University (Germany)
*      Philipp Koehn, University of Edinburgh (UK)
*      Ioannis Korkontzelos, University of Manchester (UK)
*      Brigitte Krenn, Austrian Research Institute for Artificial  
Intelligence (Austria)
*      Evita Linardaki, Hellenic Open University (Greece)
*      Takuya Matsuzaki, Tsujii Lab, University of Tokyo (Japan)
*      Yusuke Miyao, Japan National Institute of Informatics (NII)  
(Japan)
*      Preslav Nakov , Qatar Foundation (Qatar)
*      Gertjan van Noord, University of Groningen (The Netherlands)
*      Diarmuid Ó Séaghdha, University of Cambridge (UK)
*      Jan Odijk, University of Utrecht (The Netherlands)
*      Pavel Pecina, Charles University (Czech Republic)
*      Scott Piao, Lancaster University (UK)
*      Thierry Poibeau, CNRS and École Normale Supérieure (France)
*      Maja Popovic,  DFKI GmbH  (Germany)
*      Ivan Sag, Stanford University (USA)
*      Agata Savary, Université François Rabelais Tours (France)
*      Violeta Seretan, University of Geneva (Switzerland)
*      Ekaterina Shutova, University of Cambridge (UK)
*      Joaquim Ferreira da Silva, New University of Lisbon (Portugal)
*      Lucia Specia, University of Wolverhampton (UK)
*      Sara Stymne, Linköping University (Sweden)
*      Stan Szpakowicz, University of Ottawa (Canada)
*      Beata Trawinski, University of Vienna (Austria)
*      Kyioko Uchiyama, National Institute of Informatics (Japan)
*      Ruben Urizar, University of the Basque Country (Spain)
*      Tony Veale, University College Dublin (Ireland)
*      David Vilar,  DFKI GmbH  (Germany)
*      Begoña Villada Moirón, RightNow  (The Netherlands)
*      Tom Wasow, Stanford University (USA)
*      Shuly Wintner,  University of Haifa (Israel)
*      Yi Zhang, DFKI GmbH and Saarland University (Germany)

Guest Editors

*      Valia Kordoni, DFKI GmbH and Saarland University (Germany)
*      Carlos Ramisch, University of Grenoble (France) and Federal  
University of Rio Grande do Sul (Brazil)
*      Aline Villavicencio, Federal University of Rio Grande do Sul  
(Brazil) and Massachusetts Institute of Technology (USA)

Contact

For any inquiries regarding the special issue, please send an email
to mweguesteditor at gmail.com
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