[Elsnet-list] CFP - TAL Journal: Social Networks and NLP [extended deadline]

Mathieu Roche Mathieu.Roche at lirmm.fr
Mon Oct 21 17:32:01 CEST 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, TETIS (Cirad, Irstea, AgroParisTech) and LIRMM 
 (CNRS, Univ. Montpellier 2), 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 

 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 networks;
 - 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 papers: November 5, 2013 [extended deadline]
 First notification to authors: December 20, 2013
 Submission of revised articles: February 1, 2014
 Final notification: April 15, 2014
 Final version: June 15, 2014


 - Abdelmajid Ben Hamadou, MIRACL Laboratory, Institute of informatics 
 and multimedia (ISIMS), Sfax University, Tunisia
 - 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 Gagnon, École Polytechnique de Montréal, Montréal, Canada
 - 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, Australia
 - 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 process.


 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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