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Subject: [ E-CFP ] CFP - TAL Journal: Social Networks and NLP
From: <mathieu.roche_(on)_lirmm.fr>
Date received: 10 Jul 2013
Deadline: 15 Oct 2013
Start date: -

################### ########## 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.

Non-exhaustive list of topics covered in this special issue:
- Creation of resources (corpus, dictionaries, etc.) from social
- Syntactic analysis of non-structured written material;
- Identification of named entities arising from new means of
- Generation of words/phrases and language dynamism;
- Multilingualism and mixed languages;
- Categorization and grouping of textual data from social
  networks (communities, thematics, profiles, etc);
- Detection of weak signals in social networks;
- Spreading of content and linguistic practices;
- Sentiment analysis/opinion mining;
- Contextual interpretation of the content of social networks;
- Extraction and indexing of textual information in social
- Evaluation and quality of data generated from social networks;
- Monitoring systems;
- E-reputation;
- Detection of usurpers and avatars;
- Speech and dialogs analysis;
- Summary of activities in the networks.


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

SCIENTIFIC COMMITTEE (to be completed)

- Yves Bestgen, Université Catholique de Louvain, Belgium
- Caroline Brun, XEROX, Grenoble, France
- Thierry Charnois, LIPN, Université Paris-Nord, France
- Marc El-Bèze, LIA, Université d'Avignon, France
- Michel Généreux, Centro de Linguística da Universidade de
  Lisboa, Lisbon, Portugal
- Brigitte Grau, LIMSI, ENSIIE, Paris, France
- Nicolas Hernandez, LINA, Université de Nantes, France
- Diana Inkpen, Ottawa University, Canada
- Leila Kosseim, Concordia University, Canada
- Cédric Lopez, VISEO, Grenoble, France
- Stan Matwin, Dalhousie University, Canada
- Violaine Prince, LIRMM, Université Montpellier 2, France
- Horacio Saggion, Universidad Pompeu Fabra, Spain
- Laurianne Sitbon, Queensland University of Technology,
- Yannick Toussaint, INRIA, LORIA, Nancy, France
- Haïfa Zargayouna, LIPN, Université Paris-Nord, France


TAL (Traitement Automatique des Langues) is an international
journal that has been published by ATALA (Association pour le
Traitement Automatique des Langues) for the past 40 years with
the support of the CNRS. Over the past few years, it became an
online journal, with possibility of ordering the paper versions.
This does not, in any way, affect the selection and review


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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