[Corpora-List] CFP: LRE journal - Special Issue on Analysis of short texts on the Web

Fri Nov 19 18:27:07 UTC 2010

Language Resources and Evaluation Journal
Special issue on Analysis of short texts on the Web

CALL FOR PAPERS

The huge volume of information available on the Web is continuously  
growing. There is great interest in analyzing this information in  
order to fulfil specific user needs. The challenges that researchers  
must deal with when analyzing the content of Web pages are related to  
the fact that quite often they are written in natural language, and  
very often without any specific helpful structure. In other words, it  
is a problem of processing almost pure raw data, often just short  
texts which make the task quite challenging. In fact, short texts  
typically contain a small number of words whose absolute frequency is  
relatively low in comparison with their frequency in long documents.  
This makes tasks such as text categorization harder.

The exponential growth in the number of Web documents furnishes  
abundant proof of the necessity of analyzing short texts.  For  
instance, digital libraries and Web-based repositories of scientific  
and technical information provide free access only to abstracts and  
not to the full texts of the documents. News, document titles,  
snippets, FAQs, chats, abstracts etc. are some examples of the high  
volume of short texts available on the Web.

With the so-called Web 2.0, the largest communication and  
collaborative platform, new short texts are created on daily basis as  
on-line evaluations of commercial products, posts of blogs or comments  
in social networks. Twitter, for instance, is a new successful social  
network technology of the Web 2.0 genre which is used by millions of  
people and thousands of companies to publish very short messages with  
the purpose of sharing experiences and/or opinions about a product or  
service.  Due to the huge amount of information available in social  
media, there is a clear need for mining useful information from these  
messages in order to discover knowledge about the collective thinking  
of the crowds. Tweet analysis is considered to be potentially very  
important because comments, opinions, suggestions and complaints can  
be used to define new marketing strategies or to obtain information on  
companies? reputation.

In recent years there has been sufficient interest from the  
computational linguistics community on the efficient analysis of short  
texts. In fact, several tracks have been organized in the framework of  
the different evaluation frameworks at TREC (blog and Web tracks),  
CLEF (Web people search laboratory), NTCIR (opinion analysis pilot  
task), INEX (ad-hoc passage retrieval task), ROMIP (track on news  
clustering), and FIRE (ad-hoc task on retrieval from technical forums  
and mailing lists).

This special issue aims to collect state-of-the-art contributions to  
the development and use of techniques for the analysis of short texts  
on the Web, with special emphasis on resources of the collaborative  
platform of the Web 2.0. Thus, we welcome contributions that include,  
but are not limited to, resources of short texts such as posts of  
blogs, tweets, text messages, etc, as well as innovative techniques  
using linguistic resources for improved understanding of mono or  
multi-lingual short texts.

TOPICS OF INTEREST

We are particularly interested in articles showing the benefits of  
using such resources and techniques that include, but not limited to,  
the following topics:

  * Categorization of short texts
  * Cross-lingual short text mining on the Web
  * Analysis of weblogs, tweets, text messages and snippets
  * Knowledge discovery from Web 2.0
  * Opinion mining in social media
  * Enterprise 2.0 and market analysis
  * Automatic generation of collaborative linguistic resources
  * Evaluation of techniques and short text resources

IMPORTANT DATES

  * Submission deadline (abstract): March 15, 2011
  * Submission deadline (full paper): March 31, 2011
  * First-round reviews due: May 31, 2011
  * Revised versions due: July 15, 2011
  * Second-round reviews due: September 15, 2011
  * Final versions due: October 31, 2011
  * Special issue publication: sometimes in 2012

PROGRAM COMMITTEE

Eneko Agirre, University of the Basque Country
Mikhail Alexandrov, Autonomous University of Barcelona
Enrique Alfonseca, Google Zurich
Benajiba Yassine, Philips Research North America
Andrew Borthwick, Intelius
Pavel Braslavski, Yandex
Paul Clough, University of Sheffield
José Carlos Cortizo, BrainSins
Alexander Gelbukh, National Polytechnic Institute
Alfio Massimiliano Gliozzo, IBM Watson
Julio Gonzalo, UNED
Chu-Ren Huang, The Hong Kong Polytechnic University
Hitoshi Isahara, Toyohashi University of Technology
Jaap Kamps, University of Amsterdam
Pavel Makagonov, MIxtecTechnological University
Presenit Majumder, DAIICT Gandhinagar
Antonia Martí, University of Barcelona
Patricio Martínez, University of Alicante
Rada Mihalcea, University of North Texas
Mandar Mitra, Indian Statistical Institute
Manuel Montes y Gómez, INAOE Puebla
Roberto Navigli, University of Rome La Sapienza
Boris Novikov, St. Petersburg University
Ted Pedersen, University of Minnesota
Marco Pennacchiotti, Yahoo! Labs Santa Clara
Efstathios Stamatatos, University of the Aegean
Benno Stein, Bauhaus-Universität Weimar
José Antonio Troyano, University of Seville
Dan Tufi?, Romanian Academy
Jan Wiebe, University of Pittsburgh
Xiaofang Zhou, University of Queensland
Xiaoyan Zhu, Tsinghua University Beijing

GUEST EDITORS

Paolo Rosso, Universidad Politécnica de Valencia, Spain
Marcelo Errecalde, Universidad Nacional de San Luís, Argentina
David Pinto, Benemérita Universidad Autónoma de Puebla, Mexico

SUBMISSION INFORMATION

Please follow the submission instructions available from the LRE  
webpage at http://chum.edmgr.com/

For the submission of the abstract and additional information, please  
contact David Pinto (dpinto at cs.buap.mx)

---

Paolo Rosso
Head of Natural Language Engineering Lab.
Dpto. Sistemas Informáticos y Computación
Universidad Politécnica Valencia
Spain
URL: http://www.dsic.upv.es/~prosso
email: prosso [at] dsic.upv.es
fax: +34 963877359
tel: +34 963877007 ext. 73571

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