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Metaphor 2015 : The Third Workshop on Metaphor in NLP | |||||||||||||||
Link: https://sites.google.com/site/metaphorinnlp2015/home | |||||||||||||||
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Call For Papers | |||||||||||||||
FIRST CALL FOR PAPERS The Third Workshop on Metaphor in NLP (co-located with NAACL 2015) Denver, Colorado, USA – June 5, 2015 https://sites.google.com/site/metaphorinnlp2015/home Submission deadline: March 4, 2015 WORKSHOP DESCRIPTION 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 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 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 IMPORTANT DATES 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 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 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 complete. WORKSHOP CO-CHAIRS Ekaterina Shutova, University of California, Berkeley, USA Beata Beigman Klebanov, Educational Testing Service, USA Patricia Lichtenstein, University of California, Merced, USA PROGRAM COMMITTEE 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 Korea Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil Andreas Vlachos, University College London, UK |
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