LINGUIST List 24.4916

Wed Dec 04 2013

Calls: Compuational Linguistics, Cognitive Science/USA

Editor for this issue: Bryn Hauk <>

Date: 03-Dec-2013
From: Ekaterina Shutova <>
Subject: 2nd Workshop on Metaphor in NLP
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Full Title: 2nd Workshop on Metaphor in NLP Short Title: Metaphor 2014
Date: 26-Jun-2014 - 26-Jun-2014 Location: Baltimore, MD, USA Contact Person: Ekaterina Shutova
Meeting Email: < click here to access email >
Web Site:
Linguistic Field(s): Cognitive Science; Computational Linguistics

Call Deadline: 25-Mar-2014

Meeting 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 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.

Call For Papers:

The Second Workshop on Metaphor in NLP(co-located with ACL 2014)
Baltimore, MD, USA – June 26, 2014
Submission deadline: March 25, 2014

Important Dates

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

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.

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 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.

Workshop Co-Chairs:

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

Page Updated: 04-Dec-2013