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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
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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

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

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