WORKSHOP DESCRIPTION
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.
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. 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 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