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Metaphor 2015 : The Third Workshop on Metaphor in NLP


When Jun 5, 2015 - Jun 5, 2015
Where Denver, Colorado, USA
Submission Deadline Mar 4, 2015
Notification Due Mar 23, 2015
Final Version Due Mar 30, 2015
Categories    NLP

Call For Papers


The Third Workshop on Metaphor in NLP

(co-located with NAACL 2015)

Denver, Colorado, USA – June 5, 2015

Submission deadline: March 4, 2015


Metaphor processing is a rapidly growing area in natural language processing
(NLP). The ubiquity of metaphor 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 its structure and mechanisms. 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 will be 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, a formal or a quantitative framework. We also
encourage descriptions of proposals and data sets for shared tasks on metaphor

The workshop will solicit 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

Metaphor and sentiment:

The use of metaphorical language to express stronger sentiment / evaluation

Sentiment processing systems that make use of metaphor as a feature

Sentiment processing systems that detect affect associated with metaphorical

Metaphor in social media:

Processing of metaphorical language in blogging, twitter and other social media

How metaphorical language helps shape communication in social media

The influence of metaphor on social dynamics


March 4, 2015 Paper submissions due (23:59 East Coast USA time)

March 23, 2015 Notification of acceptance

March 30, 2015 Camera-ready papers due

June 5, 2015 Workshop in Denver, Colorado, USA


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 2015
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
2015 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 naaclhlt2015.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


Ekaterina Shutova, University of California, Berkeley, USA

Beata Beigman Klebanov, Educational Testing Service, USA

Patricia Lichtenstein, University of California, Merced, USA


John Barnden, University of Birmingham, UK

Yulia Badryzlova, Higher School of Economics, Moscow, Russia

Danushka Bollegala, University of Liverpool, UK

Paul Cook, University of New Brunswisk, Canada

Gerard de Melo, Tsinghua University, China

Ellen Dodge, ICSI, UC Berkeley, USA

Jonathan Dunn, Illinois Institute of Technology, USA

Anna Feldman, Montclair State University, USA

Michael Flor, Educational Testing Service, USA

Mark Granroth-Wilding, University of Cambridge, UK

Yanfen Hao, Hour Group Inc., Calgary, Alberta, Canada

Felix Hill, University of Cambridge, UK

Jerry Hobbs, USC ISI, USA

Eduard Hovy, Carnegie Mellon University, USA

Hyeju Jang, Carnegie Mellon University, USA

Valia Kordoni, Humboldt University Berlin, Germany

Alex Lascarides, University of Edinburgh, UK

Mark Lee, University of Birmingham, UK

Annie Louis, University of Edinburgh, UK

Saif Mohammad, National Research Council Canada, Canada

Behrang Mohit, Carnegie Mellon University, Qatar

Michael Mohler, Language Computer Corporation, USA

Preslav Nakov, Qatar Computing Research Institute, Qatar

Srini Narayanan, Google, Switzerland

Ani Nenkova, University of Pennsylvania, USA

Yair Neuman, Ben Gurion University, Israel

Malvina Nissim, University of Bologna, Italy

Thierry Poibeau, Ecole Normale Superieure and CNRS, France

Bryan Rink, LCC, USA

Eyal Sagi, Northwestern University, USA

Sabine Schulte im Walde, University of Stuttgart, Germany

Samira Shaikh, SUNY Albany, USA

Caroline Sporleder, University of Trier, Germany

Mark Steedman, University of Edinburgh, UK

Gerard Steen, Vrije Universiteit Amsterdam, The Netherlands

Carlo Strapparava, Fondazione Bruno Kessler, Italy

Tomek Strzalkowski, SUNY Albany, USA

Marc Tomlinson, LCC, USA

Yulia Tsvetkov, Carnegie Mellon University, USA

Peter Turney, National Research Council Canada, Canada

Tony Veale, Korean Advanced Institute for Science and Technology, Republic of

Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil

Andreas Vlachos, University College London, UK

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