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CONF: NAACL/HLT Workshop on Multiword Expressions (MWE 2013)

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  • Barbara Partee
    ... From: Valia Kordoni Date: Thu, May 9, 2013 at 3:58 PM Subject: [sem] Call for Participation: NAACL/HLT Workshop
    Message 1 of 1 , May 9, 2013

      ---------- Forwarded message ----------
      From: Valia Kordoni <evangelia.kordoni@...-berlin.de>
      Date: Thu, May 9, 2013 at 3:58 PM
      Subject: [sem] Call for Participation: NAACL/HLT Workshop on Multiword Expressions (MWE 2013)
      To: semantik@...

      Call for participation

      NAACL/HLT Workshop on Multiword Expressions (MWE 2013)
      Atlanta, Georgia, USA, June 13-14, 2013

      Hosted in conjunction with NAACL-HLT 2013 (NAACL early registration closes
      this Friday, May 10: http://naacl2013.naacl.org/Registration.aspx)

      The list of accepted papers and the schedule is available at:

      Keynote speakers:
      Jill Burstein  - Educational Testing Service
      Malvina Nissim - University of Bologna
      Martha Palmer - University of Colorado at Boulder

      Workshop Organizers:
      Valia Kordoni (Humboldt-Universität zu Berlin, Germany)
      Carlos Ramisch (Joseph Fourier University, France)
      Aline Villavicencio (Federal University of Rio Grande do Sul, Brazil)


      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 starters, MWEs are not nearly as frequent in NLP resources as they are
      in real-word 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 that 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, that 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,
      COLING, LREC and EACL), 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”, currently under publication
      from the ACM Transactions on Speech and Language Processing.

      MWE 2013 will be the 9th 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 in linguistic theories like HPSG, LFG and minimalism
      - 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 is endorsed by ACL SIGLEX, the Special Interest Group on the
      Lexicon of the Association for Computational Linguistics.

      Program Committee:

      Iñaki Alegria, University of the Basque Country (Spain)
      Dimitra Anastasiou, University of Bremen (Germany)
      Doug Arnold, University of Essex (UK)
      Giuseppe Attardi, Università di Pisa (Italy)
      Eleftherios Avramidis, DFKI GmbH (Germany)
      Tim Baldwin, The University of Melbourne (Australia)
      Chris Biemann, Technische Universität Darmstadt (Germany)
      Francis Bond, Nanyang Technological University (Singapore)
      Antonio Branco, University of Lisbon (Portugal)
      Aoife Cahill, Educational Testing Service (USA)
      Helena Caseli, Federal University of São Carlos (Brazil)
      Ken Church, IBM Research (USA)
      Matthieu Constant, Université Paris-Est Marne-la-Vallée (France)
      Paul Cook, The University of Melbourne (Australia)
      Béatrice Daille, Nantes University (France)
      Koenraad de Smedt, University of Bergen (Norway)
      Markus Egg, Humboldt-Universität zu Berlin (Germany)
      Stefan Evert, Friedrich-Alexander Universität Erlangen-Nürnberg (Germany)
      Afsaneh Fazly, University of Toronto (Canada)
      Joaquim Ferreira da Silva, New University of Lisbon (Portugal)
      Chikara Hashimoto, National Institute of Information and Communications
      Technology (Japan)
      Kyo Kageura, University of Tokyo (Japan)
      Su Nam Kim, Monash University (Australia)
      Ioannis Korkontzelos, University of Manchester (UK)
      Brigitte Krenn, Austrian Research Institute for Artificial Intelligence
      Evita Linardaki, Hellenic Open University (Greece)
      Takuya Matsuzaki, National Institute of Informatics (Japan)
      Yusuke Miyao, National Institute of Informatics (Japan)
      Preslav Nakov, Qatar Computing Research Institute - Qatar Foundation (Qatar)
      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 Prague (Czech Republic)
      Scott Piao, Lancaster University (UK)
      Adam Przepiórkowski, Polish Academy of Sciences (Poland)
      Magali Sanches Duran, University of São Paulo (Brazil)
      Agata Savary, Université François Rabelais Tours (France)
      Ekaterina Shutova, University of California at Berkeley (USA)
      Mark Steedman, University of Edinburgh (UK)
      Sara Stymne, Uppsala University (Sweden)
      Stan Szpakowicz, University of Ottawa (Canada)
      Beata Trawinski, University of Vienna (Austria)
      Yulia Tsvetkov, Carnegie Mellon University (USA)
      Yuancheng Tu, Microsoft (USA)
      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)
      Veronika Vincze, Hungarian Academy of Sciences (Hungary)
      Tom Wasow, Stanford University (USA)
      Eric Wehrli, University of Geneva (Switzerland)

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