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Gmane
From: =?UTF-8?B?Q8OpY2lsZSBGYWJyZQ==?= <cecile.fabre <at> univ-tlse2.fr>
Subject: CFP: TAL journal - Special issue on Distributional Semantics
Newsgroups: gmane.science.linguistics.corpora
Date: Thursday 18th September 2014 15:07:13 UTC (over 3 years ago)
TAL journal - Special issue on Distributional Semantics

GUEST EDITORS
Cécile Fabre (CLLE-ERSS, University of Toulouse)
Alessandro Lenci (CoLing Lab, University of Pisa)

SUBMISSION DEADLINE : February 16, 2015

THEMES :
The use of distributional information extracted from corpora to compute 
semantic similarity between words has become a very common method in 
NLP. Its popularity is easily explained: it provides access to semantic 
content on the basis of an elementary principle, requiring no sources of 
knowledge other than corpus-derived information about word distribution 
in contexts. In recent years, distributional semantics based on vector 
space models has benefited from the availability of massive amounts of 
textual data and increased computational power, allowing for the 
application of these methods on a large scale.

Today, the field has reached maturity: many experiments have been 
carried out on several languages, several survey articles have recently 
helped to consolidate the concepts and procedures used for 
distributional computations, various distributional models and 
evaluation data are now available. Still, many issues remain open to 
have a better control on the application of the distributional 
methodology in computational semantics and to improve the understanding 
of the the types of information that is induced by these methods.

Much research effort has focused on optimization methods to handle 
massive corpora and on the adjustment of the many parameters that are 
likely to have impact on the quality and nature of semantic relations – 
such as similarity measures, types of distributional contexts, 
dimensionality reduction techniques, context weighting schemes, etc. A 
second important issue relates to the use of distributional semantic 
information for a large number of applications (information retrieval, 
summarization, textual entailment, etc.). Distributional features have 
been incorporated into a wide range of NLP tasks, such as named entity 
classification and paraphrasing. They are also used for the construction 
of lexical networks that enable the visualization of the semantic 
relations that hold between the words of a corpus. Finally, in the last 
few years, research has focused on combining distributional 
representations with other kinds of semantic representations, and on 
modeling semantic compositionality within a distributional framework, 
such that not only individual words but also larger phrases can be taken 
into account.

We wish that this special issue of the TAL journal on distributional 
semantics will reflect the current diversity of the field, regarding 
linguistic and computational issues. We welcome papers that focus on any 
of the aforementioned topics, and in particular:
- construction of distributional semantic models
- compositionality within a distributional framework
- induction of specific semantic relations
- use of distributional methods within NLP tasks
- optimization techniques for distributional computations
- visualization techniques for word spaces
- role of corpora in distributional semantics models
- “deep learning” and distributional semantics
- integrating distributional and non-distributional semantic information
- evaluation of distributional semantic models

REVIEW COMMITTEE
(to be completed)
Marianna Apidianaki – LIMSI, Orsay
Marco Baroni – CIMeC, Trento
Ann Bertels -ILT, K.U. Leuven
Romaric Besançon – CEA, Gif-sur-Yvette
Yves Bestgen - UCL/CECL, Louvain-La-Neuve
Gemma Boleda - Université Pompeu Fabra, Barcelone
Marie Candito - ALPAGE, Paris
Olivier Ferret – CEA, Gif-sur-Yvette
Andre Freitas - DERI, National University of Ireland,Galway
Gregory Grefenstette - INRIA, Saclay
Thierry Hamon - LIMSI, Paris
Aurélie Herbelot - Institut für Linguistik, Potsdam
Guillaume Jacquet - European Commission, JRC, Ispra
Olivier Kraif - LIDILEM, Grenoble
Laurent Prévot - LPL, Aix-Marseille
Benoît Sagot - ALPAGE, Paris
Magnus Sahlgren - Gavagai, Inc., Suède
Franck Sajous - CLLE-ERSS, Toulouse
Sabine Schulte im Walde - IMS, Stuttgart
Ludovic Tanguy, CLLE-ERSS, Toulouse
Peter Turney - National Research Council Canada, Ottawa
Tim Van de Cruys - IRIT, Toulouse
Lonneke Van der Plas - Institute for NLP, Stuttgart

IMPORTANT DATES
February  16, 2015: Submission deadline
April 15: First notification to authors
June 1: revised submission
July 9: final notification
September 1: final version
End of 2015: Publishing

PAPER SUBMISSION
Papers must describe original, completed, and unpublished work. Each 
submission will be reviewed by two programme committee members.
Papers must be submitted thorugh the Sciencesconf platform: 
http://tal-56-2.sciencesconf.org/?eng
Accepted papers will be maximum 25 pages long in PDF.
Style sheets are available for download on the Web site of the TAL journal.

LANGUAGE
Manuscripts may be submitted in English or French.
French-speaking authors are requested to submit their contributions in 
French.

THE TAL JOURNAL
TAL (Traitement Automatique des Langues / Natural Language Processing) 
is an international journal published by ATALA (French Association for 
Natural Language Processing, http://www.atala.org) since 1959 with the 
support of CNRS (National Centre for Scientific Research).

ADDITIONAL INFORMATION
http://tal-56-2.sciencesconf.org/?eng


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