24.2820, Calls: Computational Linguistics/ Traitement Automatique des Langues (Jrnl)

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LINGUIST List: Vol-24-2820. Thu Jul 11 2013. ISSN: 1069 - 4875.

Subject: 24.2820, Calls: Computational Linguistics/ Traitement Automatique des Langues (Jrnl)

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Date: Thu, 11 Jul 2013 11:33:41
From: Mathieu Roche [mroche at lirmm.fr]
Subject: Computational Linguistics/ Traitement Automatique des Langues (Jrnl)

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Full Title: Traitement Automatique des Langues 


Linguistic Field(s): Computational Linguistics 

Call Deadline: 15-Oct-2013 

Call for Papers

TAL Journal (Special Issue): 
Social Networks and Natural Language Processing
2013 - Volume 54, Number 3
 
Guest Editors:
- Atefeh Farzindar, NLP Technologies and Univ. de Montréal, Canada
- Mathieu Roche, LIRMM (CNRS, Univ. Montpellier 2) and TETIS (Cirad, Irstea,
AgroParisTech), France
  

Social networks, dynamic structures comprised of individuals or organizations,
have always played a major role in our societies. They have evolved and
diversified with the Web 2.0, which offers users the possibility to create and
share content through multiple platforms (blogs, micro-blogs, wikis, sharing
sites, etc.). In this environment, the unprecedented volume and variety of
textual data as well as the users' interaction network give rise to new
opportunities to better understand social behavior. The study of messages
exchanged represents a new challenge in Natural Language Processing. In this
context, it becomes interesting to discuss the strength of NLP methods
(morphosyntactic analysers, systems of term extraction and of named entity
recognition, etc.) on this data. In this special issue, new approaches will be
presented for the purpose of analysing this massive, heterogeneous and usually
noisy textual data coming from social networks.

In addition, these means of communication are powerful collective tools where
language is both invented and experienced with. Certain words are then
attributed new meanings, and the creation of words or new syntactic structures
becomes widespread (for example, by mixing different languages). The creation,
dissemination and processing of this original vocabulary can be discussed in
this special issue, which, in a broader perspective, will highlight a new way
to communicate.

Some metadata (for example, the hashtags) and the linguistic descriptors
originating from texts constitute a solid base for the analysis of social
networks. They bring to the fore different socio-economic, political and
geographic communities, just to name a few. In addition, the linguistic
descriptors, whether they are words or syntagmatic relations, allow for a
precise analysis of the feelings and opinions contained in the messages. For
example, the lexical, graphic and even syntactic specificities (emoticons,
abbreviations, character repetition, etc.) in the text data contain valuable
information allowing for the detection of opinions or analysis of feelings
(fine detection of emotions, identification of irony, etc.).

Finally, this special issue will be an opportunity to describe new problems
arising from social networks development. For example, systems that monitor
social networks must be able to detect potential usurpers or study the
dissemination of information. This special issue offers the opportunity to
present original applications adapted to the processing of textual data that
stems from social networks.

Important Dates

Submission of abstracts: October 15, 2013
Submission of articles: October 29, 2013
First notification to authors: December 20, 2013
Submission of revised articles: February 1, 2014
Final notification: April 15, 2014
Final version: June 15, 2014

Useful Information

The articles (25 pages, PDF format) must be uploaded on the platform
http://tal-54-3.sciencesconf.org/. Style sheets are available on the web site
of the journal (http://www.atala.org/-revue-tal). The journal only publishes
original contributions, in French or in English. Submissions in English will
be accepted only from non-francophone authors.







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