28.2288, Calls: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Translation / Terminology (Jrnl)

[The LINGUIST List]

LINGUIST List: Vol-28-2288. Tue May 23 2017. ISSN: 1069 - 4875.

Subject: 28.2288, Calls: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Translation / Terminology (Jrnl)

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Date: Tue, 23 May 2017 10:21:20
From: Thierry Hamon [hamon at limsi.fr]
Subject: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Translation / Terminology (Jrnl)

 
Full Title: Terminology 


Linguistic Field(s): Applied Linguistics; Computational Linguistics 

Call Deadline: 15-Jun-2017 

Deadline extension: June 15th, 2017
Special Issue - Terminology 24(1), 2018

Computational Terminology and Filtering of Terminological Information
https://perso.limsi.fr/hamon/Terminology2018/

Computational Terminology covers an increasingly important aspect in
Natural Language Processing areas such as text mining, information
retrieval, information extraction, summarisation, textual entailment,
document management systems, question-answering systems, ontology
building, machine translation, etc. Terminological information is
paramount for knowledge mining from texts for scientific discovery and
competitive intelligence.

Thanks to many years of research work, Computational Terminology has
gained in strength and maturity. New requirements emerge from the
current use of terminological approaches in many domains. Thus,
scientific needs in fast growing domains (such as biomedicine,
chemistry and ecology) and the overwhelming amount of textual data
published daily demand that terminology is acquired and managed
systematically and automatically; while in well established domains
(such as law, economy, banking and music) the demand is on
fine-grained analyses of documents for knowledge description and
acquisition. Moreover, capturing new concepts leads to the acquisition
and management of new knowledge.

The aim of this special issue is to present and describe research work
dedicated to extraction and filtering of terminological information
with computational methods. In that context, the addressed topics are
more particularly dedicated, but not limited, to:

- robustness and portability of methods for filtering extracted terms
- word embedding approaches for terminology acquisition
- transfer of methodologies from one language to another
- new needs of users
- consideration of the user expertise
- monolingual and multilingual resources
- re-utilization and adaptation of terminologies in various NLP applications
- systematic terminology management and updating domain specific dictionaries
and thesauri

Deadlines:
- Submission deadline: *June 15th, 2017* (extended deadline)
- First acceptance notification: August 1st, 2017
- Modified version: September 1st, 2017
- Final acceptance notification: October 1st, 2017
- Final version ready: November 1st, 2017

Program Committee:
Galia Angelova, Bulgarian Academy of Sciences, Bulgaria
Svetla Boytcheva, Bulgarian Academy of Sciences, Bulgaria
Key-Sun Choi, KAIST, Korea
Béatrice Daille, University of Nantes, France
Louise Deléger, INRA, France
Gregory Grefenstette, Institute for Human-Machine Cognition, USA
Yoshihiko Hayashi, Waseda University, Japan
Olga Kanishcheva, Kharkiv Polytechnic Institute, Ukraine
Georgios Kontonatsios, Edge Hill University, UK
Veronique Malaise, Elsevier BV, the Netherlands
Elizabeth Marshman, University of Ottawa, Canada
Fleur Mougin, University Bordeaux, France
Agnieszka Mykowiecka, IPIPAN, Poland
Rogelio Nazar, University Pompeu Fabra, Spain
Goran Nenadic, University of Manchester, UK
Fabio Rinaldi, University of Zurich, Switzerland
Selja Seppälä, University of Florida, USA
Takehito Utsuro, University of Tsukuba, Japan
Jorge Vivaldi Palatresi, University Pompeu Fabra, Spain
Pierre Zweigenbaum, CNRS, France
Guest editors
Patrick Drouin, Université de Montréal
Natalia Grabar, Université Lille 1&3
Thierry Hamon, LIMSI-CNRS & Université Paris 13
Kyo Kageura, University of Tokyo
Koichi Takeuchi, Okayama University




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