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Subject: [ E-CFP ] Metaphor in NLP: First call for papers
From: <shutova.e_(on)_gmail.com>
Date received: 30 Dec 2012
Deadline: 05 Mar 2013
Start date: 13 Jun 2013


The 1st Workshop on Metaphor in NLP

(co-located with NAACL-HLT 2013)

Atlanta, Georgia, USA - June 13 or 14, 2013


Submission deadline: March 5, 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

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

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

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

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


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


Authors are invited to submit a full paper of up to 8 pages, with
up to 2 additional pages for references. We also inviteshort
papers of up to 4 pages, with up to 2 additional pages for

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.


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


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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