FIRST CALL FOR PAPERS
The Fourth Workshop on Metaphor in NLP
(co-located with NAACL 2016)
San Diego, California, USA – June 16 or 17, 2016
https://sites.google.com/site/metaphorinnlp2016/home
Submission deadline: March 3, 2016
WORKSHOP DESCRIPTION
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 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 processing.
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 other kinds of figurative language
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
IMPORTANT DATES
March 3, 2016 Paper submissions due (23:59 West Coast USA time)
March 23, 2016 Notification of acceptance
March 30, 2016 Camera-ready papers due
June 16 or 17, 2016 Workshop in San Diego, CA
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 2016 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 2016 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 naaclhlt2016.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
Beata Beigman Klebanov, Educational Testing Service, USA
Ekaterina Shutova, University of Cambridge, UK
Patricia Lichtenstein, University of California, Merced, USA
PROGRAM COMMITTEE
Shlomo Argamon, Illinois Institute of Technology, USA
John Barnden, University of Birmingham, UK
Danushka Bollegala, University of Liverpool, UK
Susan Brown, Univeristy of Colorado, USA
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
Jerry Feldman, University of California at Berkeley, USA
Michael Flor, Educational Testing Service, USA
Andrew Gargett, University of Birmingham, UK
Mark Granroth-Wilding, University of Cambridge, UK
Yanfen Hao, TrustScience, Edmonton, Alberta, Canada
Eduard Hovy, Carnegie Mellon University, USA
Anna Jamrozik, University of Pennsylvania, USA
Hyeju Jang, Carnegie Mellon University, USA
Valia Kordoni, Humboldt University Berlin, Germany
James H. Martin,University of Colorado at Boulder, USA
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
Malvina Nissim, University of Groningen, The Netherlands
Diarmuid O'Seaghdha, University of Cambridge, UK
Thierry Poibeau, Ecole Normale Superieure and CNRS, France
Paul Rayson, Lancaster University, UK
Brian Rink, Language Computer Corporation, USA
Eyal Sagi, University of St. Francis, USA
Sabine Schulte im Walde, University of Stuttgart, Germany
Samira Shaikh, SUNY Albany, USA
Caroline Sporleder, Goettingen University, Germany
Mark Steedman, University of Edinburgh, UK
Gerard Steen, University of Amsterdam, The Netherlands
Tomek Strzalkowski, SUNY Albany, USA
Marc Tomlinson, Language Computer Corporation, USA
Yulia Tsvetkov, Carnegie Mellon University, USA
Tony Veale, University College Dublin, Ireland
Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil
Andreas Vlachos, University of Sheffield, UK