LINGUIST List 26.830

Mon Feb 09 2015

Calls: Applied Ling, Computational Ling, Semantics, Text/Corpus Ling/USA

Editor for this issue: Anna White <awhitelinguistlist.org>


Date: 07-Feb-2015
From: Ekaterina Shutova <katiaicsi.berkeley.edu>
Subject: 3rd Workshop on Metaphor in NLP
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Full Title: 3rd Workshop on Metaphor in NLP

Date: 05-Jun-2015 - 05-Jun-2015
Location: Denver, Colorado, USA
Contact Person: Ekaterina Shutova
Meeting Email: < click here to access email >
Web Site: https://sites.google.com/site/metaphorinnlp2015/home

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Semantics; Text/Corpus Linguistics

Call Deadline: 04-Mar-2015

Meeting Description:

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

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.

Final 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

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.



Page Updated: 09-Feb-2015