The Second Workshop on Metaphor in NLP

Event Notification Type: 
Call for Papers
Abbreviated Title: 
Metaphor 2014
Baltimore, MD
Thursday, 26 June 2014
Contact Email: 
Ekaterina Shutova
Submission Deadline: 
Tuesday, 25 March 2014


The Second Workshop on Metaphor in NLP

(co-located with ACL 2014)

Baltimore, MD, USA – June 26, 2014

Submission deadline: March 25, 2014


Metaphor processing is a rapidly growing area in 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 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 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 processing. In comparison to last year's workshop, the Second Workshop on Metaphor in NLP will broaden its scope by encouraging submissions on special themes of computational processing of emotions and affect in metaphor, as well as processing of metaphorical language in social media.

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 expressions

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 25, 2014 Paper submissions due (23:59 East Coast USA time)
April 14, 2014 Notification of Acceptance
April 28, 2014 Camera-ready papers due
June 26, 2014 Workshop in Baltimore, Maryland, 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 references.

All submissions should follow the two-column format of ACL 2014 proceedings. Please use ACL LaTeX style files or Microsoft Word style files tailored for this year's conference; these style files are available from ACL 2014 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 acl2014.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.


Beata Beigman Klebanov, Educational Testing Service, USA
Ekaterina Shutova, University of California, Berkeley, USA
Patricia Lichtenstein, University of California, Merced, USA


John Barnden, University of Birmingham, UK
Yulia Badryzlova, Higher School of Economics, Moscow, Russia
Ted Briscoe, University of Cambridge, UK
Danushka Bollegala, University of Liverpool, UK
Stephen Clark, University of Cambridge, UK
Paul Cook, University of Melbourne, Australia
Gerard de Melo, University of California at Berkeley, USA
Jonathan Dunn, Purdue University, USA
Anna Feldman, Montclair State University, USA
Jerry Feldman, University of California at Berkeley, USA
Michael Flor, Educational Testing Service, USA
Yanfen Hao, Hour Group Inc., Calgary, Alberta, Canada
Ed Hovy, Carnegie Mellon University, USA
Valia Kordoni, Humboldt University Berlin, Germany
Mark Lee, University of Birmingham, UK
Annie Louis, University of Edinburgh, UK
Katja Markert, University of Leeds, UK
James H. Martin, University of Colorado at Boulder, USA
Saif Mohammad, National Research Council Canada, Canada
Behrang Mohit, Carnegie Mellon University in Qatar, Qatar
Preslav Nakov, Qatar Computing Research Institute, Qatar
Srini Narayanan, University of California, Berkeley, USA
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
Antonio Reyes, Instituto Superior de Iterpretes y Traductores, Mexico
Paolo Rosso, Universidad Politécnica de Valencia, Spain
Eyal Sagi, Northwestern University, USA
Sabine Schulte im Walde, Stuttgart University, Germany
Diarmuid O'Seaghdha, University of Cambridge, UK
Caroline Sporleder, Saarland University, Germany
Mark Steedman, University of Ediburgh, UK
Gerard Steen, VU University of Amsterdam, The Netherlands
Mark Stevenson, University of Sheffield, UK
Carlo Strapparava, Fondazione Bruno Kessler, Italy
Tomek Strzalkowski, State University of New York at Albany, USA
Marc Tomlinson, LCC, USA
Oren Tsur, Hebrew University, Israel
Peter Turney, National Research Council Canada, Canada
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
Jan Wiebe, University of Pittsburgh, USA