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LINGUIST List 21.5039

Mon Dec 13 2010

Calls: Computational Linguistics / Natural Language Engineering (Jrnl)

Editor for this issue: Dayn Schulert <daynlinguistlist.org>


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        1.     Preslav Nakov , Natural Language Engineering

Message 1: Natural Language Engineering
Date: 08-Dec-2010
From: Preslav Nakov <nakovcomp.nus.edu.sg>
Subject: Natural Language Engineering
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Full Title: Natural Language Engineering


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

Call Deadline: 01-Oct-2011

Journal of Natural Language Engineering

Special issue on Computational approaches to the semantics of noun compounds

Noun compounds are a major challenge for the automatic analysis of English
written text. A noun compound is a sequence of nouns acting as a single
noun, such as 'colon cancer tumor suppressor protein' or 'carbon steel soup
pot cover'. Often at least partially lexicalised, such constructions encode
implicit relations which tend to be hard for language processing software
to understand. For example, olive oil *is extracted from* olives, while
malaria mosquito *spreads* malaria. Noun compounds are abundant in written
English. They comprise 3.9% of the tokens in the Reuters corpus and 2.6% in
the British National Corpus, so they cannot be conveniently ignored. They
also are highly productive: over half of the two-noun compound types in the
BNC occur only once. Moreover, noun compounds cannot be enumerated in any
static resource: it has been shown that static English dictionaries cover
only 27% of the noun compounds that occur 10+ times in the BNC.

It is not surprising that noun compounds have attracted a lot of research
interest in theoretical linguistics and in computational linguistics. There
has been considerable progress in the theory and practice of their semantic
interpretation in the last several years, as well as new insights into the
process of compounding and its use in text processing applications.

We invite contributions on topics related to computational approaches to
the semantics of noun compounds, including but not limited to

- designing models, resources and tools for the syntactic and semantic
interpretation of noun compounds;

- comparing and mapping between different semantic representations;

- evaluating the quality of noun compound interpretation systems;

- paraphrasing noun compounds;

- adapting linguistic theories to the computational interpretation of noun
compounds;

- applying noun compound interpretation to various natural language
processing tasks.

We seek original unpublished papers of no more than 20 pages. Submission
details will be announced closer to the deadline.


Important dates

First CFP: December 7, 2010
Submissions: October 1, 2011
Initial decisions: January 1, 2012
Submission of revised versions: May 1, 2012
Final decisions: August 1, 2012
Submission of camera-ready versions: November 1, 2012
Publication: after January 2013


Guest editors

Francis Bond, Nanyang Technological University
Su Nam Kim, The University of Melbourne
Preslav Nakov, National University of Singapore
Stan Szpakowicz, University of Ottawa


Guest editorial board

Timothy Baldwin, University of Melbourne
Ann Copestake, University of Cambridge
Ido Dagan, Bar Ilan University
Roxana Girju, University of Illinois at Urbana-Champaign
Gregory Grefenstette, Exalead S.A.
Chikara Hashimoto, National Institute of Information and Communications
Technology
Iris Hendrickx, University of Lisboa
Kyo Kageura, University of Tokyo
Zornitsa Kozareva, University of Southern California
Valia Kordoni, University of Saarland
Alex Lascarides, University of Edinburgh
Diana McCarthy, Lexical Computing Ltd.
Dan Moldovan, University of Texas at Dallas
Sebastian Pado, Heidelberg University
James Pustejovsky, Brandeis University
Diarmuid Ó Séaghdha, University of Cambridge
Lorenza Romano, FBK-irst
Barbara Rosario, Intel Lab
Koichi Takeuchi, Okayama University
Peter Turney, National Research Council
Lucy Vandewende, Microsoft Research
Aline Villavicencio, Federal University of Rio Grande do Sul
Deniz Yuret, Koç University


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