LINGUIST List 24.79: Calls: Computational Ling, Cognitive Sci, Psycholing, Semantics/USA

LINGUIST List 24.79
Tue Jan 08 2013 Calls: Computational Ling, Cognitive Sci, Psycholing, Semantics/USA Editor for this issue: Alison Zaharee <alisonlinguistlist.org>
Date: 30-Dec-2012 From: Ekaterina Shutova <shutova.egmail.com> Subject: 1st Workshop on Metaphor in NLP E-mail this message to a friend Full Title: 1st Workshop on Metaphor in NLP Date: 13-Jun-2013 - 14-Jun-2013 Location: Atlanta, GA, USA Contact Person: Ekaterina Shutova Meeting Email: < click here to access email > Web Site: http://sites.google.com/site/1stworkshoponmetaphorinnlp2013/ Linguistic Field(s): Cognitive Science; Computational Linguistics; General Linguistics; Psycholinguistics; Semantics Call Deadline: 05-Mar-2013 Meeting Description: 1st Workshop on Metaphor in NLP (co-located with NAACL-HLT 2013) Atlanta, Georgia, USA - June 13 or 14, 2013 https://sites.google.com/site/1stworkshoponmetaphorinnlp2013/ Characteristic to all areas of human activity (from poetic to ordinary to scientific) and, thus, to all types of discourse, metaphor becomes an important problem for natural language processing. Its ubiquity in language has been established in a number of corpus studies and the role it plays in human reasoning has been confirmed in psychological experiments. This makes metaphor an important research area for computational and cognitive linguistics, and its automatic identification and interpretation indispensable for any semantics-oriented NLP application. The work on metaphor in NLP and AI started in the 1980s, providing us with a wealth of ideas on the structure and mechanisms of the phenomenon. The last decade witnessed a technological leap in natural language computation, whereby manually crafted rules gradually give way to more robust corpus-based statistical methods. This is also the case for metaphor research. In the recent years, the problem of metaphor modeling has been steadily gaining interest within the NLP community, with a growing number of approaches exploiting statistical techniques. Compared to more traditional approaches based on hand-coded knowledge, these more recent methods tend to have a wider coverage, as well as be more efficient, accurate and robust. However, even the statistical metaphor processing approaches so far often focused on a limited domain or a subset of phenomena. At the same time, recent work on computational lexical semantics and lexical acquisition techniques, as well as a wide range of NLP methods applying machine learning to open-domain semantic tasks, open many new avenues for creation of large-scale robust tools for recognition and interpretation of metaphor. Call for Papers: The main focus of the workshop is on computational modeling of metaphor using state-of-the-art NLP techniques. However, papers on cognitive, linguistic, and applied aspects of metaphor are also of interest, provided that they are presented within a computational, formal or quantitative framework. We also encourage descriptions of proposals and data sets for shared tasks on metaphor processing. The workshop invites both full papers and short papers for either oral or poster presentation. Topics will include, but will not be limited to, the following: Identification and Interpretation of Different Levels and Types of Metaphor: Conceptual and linguistic metaphor Lexical metaphor Multiword metaphorical expressions Extended metaphor / metaphor in discourse Conventional / novel / deliberate metaphor Metaphor Processing Systems that Incorporate State-of-the-Art NLP Methods: Statistical metaphor processing The use of lexical resources for metaphor processing The use of corpora for metaphor processing Distributional methods for metaphor processing Supervised and unsupervised learning for metaphor processing Identification of conceptual and linguistic metaphor Identification and interpretation of lexical metaphor / multiword metaphor / extended metaphor Lexical metaphor interpretation vs. word sense disambiguation Metaphor paraphrasing Generation of metaphorical expressions Metaphor translation and multilingual metaphor processing Metaphor Resources and Evaluation: Metaphor annotation in corpora Metaphor in lexical resources Reliability of metaphor annotation Datasets for evaluation of metaphor processing tools Metaphor evaluation methodologies and frameworks Descriptions of proposals for shared tasks on metaphor processing Metaphor Processing for External NLP Applications: Metaphor in machine translation Metaphor in opinion mining Metaphor in information retrieval Metaphor in educational applications Metaphor in dialog systems Metaphor in open-domain and domain-specific applications Metaphor and Cognition: Computational approaches to metaphor inspired by cognitive evidence Cognitive models of metaphor processing by the human brain Models of metaphor across languages and cultures Metaphor Interaction with Other Phenomena (within a computational, formal or quantitative framework): Metaphor and compositionality Metaphor and abstractness / concreteness Metaphor and sentiment Metaphor and persuasion Metaphor and argumentation Metaphor and metonymy Metaphor and grammar Important Dates: March 5, 2013: Paper submissions due (23:59 Samoa time/UTC-11) March 29, 2013: Notification of acceptance April 12, 2013: Camera-ready papers due June 13-14, 2013: Workshop in Atlanta, Georgia, USA Submission Information: Authors are invited to submit a full paper of up to 8 pages, with up to 2 additional pages for references. We also invite short papers of up to 4 pages, with up to 2 additional pages for references. All submissions should follow the two-column format of NAACL HLT 2013 proceedings. Please use ACL LaTeX style files or Microsoft Word style files tailored for this year’s conference; these style files are available from NAACL-HLT 2013 website (http://naacl2013.naacl.org/). Submissions must conform to the official style guidelines, which are contained in the style files, and they must be electronic in PDF format. Please see http://naacl2013.naacl.org/Documents/naaclhlt2013.pdf for detailed formatting instructions. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., ‘We previously showed (Smith, 1991) ...’, should be avoided. Instead, use citations such as ‘Smith previously showed (Smith, 1991) ...’. Papers that do not conform to these requirements will be rejected without review. In addition, please do not post your submissions on the web until after the review process is complete. Workshop Co-Chairs: Ekaterina Shutova, University of California at Berkeley, USA Beata Beigman Klebanov, Educational Testing Service, USA Joel Tetreault, Nuance, USA Zornitsa Kozareva, USC Information Sciences Institute, USA Program Committee: Shlomo Argamon, Illinois Institute of Technology, USA John Barnden, University of Birmingham, UK Gemma Boleda, University of Texas at Austin, USA Danushka Bollegala, University of Tokyo, Japan Marisa Boston, Nuance, USA David Bracewell, LCC, USA Ted Briscoe, University of Cambridge, UK Jaime Carbonell, CMU, USA Stephen Clark, University of Cambridge, UK Paul Cook, University of Melbourne, Australia Gerard de Melo, University of California at Berkeley, USA Alice Deignan, Leeds University, UK Afsaneh Fazly, University of Toronto, Canada Anna Feldman, Montclair State University, USA Jerry Feldman, University of California at Berkeley, USA Michael Flor, Educational Testing Service, USA Marjorie Freedman, BBN, USA Deidre Gentner, Northwestern University, USA Jerry Hobbs, University of Southern California, USA Eugenie Giesbrecht, Karlsruhe Institute of Technology, Germany Valia Kordoni, Humboldt University Berlin, Germany Anna Korhonen, University of Cambridge, UK George Lakoff, University of California at Berkeley, USA Alex Lascarides, University of Edinburgh, UK Mark Lee, University of Birmingham, UK Katja Markert, University of Leeds, UK James H. Martin, University of Colorado at Boulder, USA Andreas Musolff, University of East Anglia, UK Srini Narayanan, University of California at Berkeley, USA Malvina Nissim, University of Bologna, Italy Thierry Poibeau, Ecole Normale Superieure and CNRS, France Diarmuid O’Seaghdha, University of Cambridge, UK Caroline Sporleder, Saarland University, Germany Carlo Strapparava, Fondazione Bruno Kessler, Italy Tomek Strzalkowski, SUNY Albany, USA Marc Tomlinson, LCC, USA Oren Tsur, Hebrew University, Israel Peter Turney, National Research Council Canada, Canada Tim van de Cruys, IRIT and CNRS, Toulouse, France Tony Veale, Korean Advanced Institute for Science and Technology, Republic of Korea Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil and MIT, USA Andreas Vlachos, University of Cambridge, UK Yorick Wilks, University of Sheffield, UK Read more issues\|LINGUIST home page\|Top of issue

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