[Corpora-List] CFP: Special Issue - Terminology 24(1), 2018 - Second call for paper

Thierry Hamon hamon at limsi.fr
Wed May 3 10:51:43 CEST 2017


Call for papers: 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:

this aspect allows to apply term extraction and filtering methods

developed in one given context to other contexts (corpora, domains,

languages, etc.) and to share the research expertise among them;

- word embedding approaches for terminology acquisition: this aspect

addresses use and adaptation of word embedding in the context of

specialized domains for acquisition of terms and relations;

- transfer of methodologies from one language to another, especially

when the transfer is concerned with less-resourced languages or

domains;

- new needs of users: this aspect addresses design, creation and

adaptation of the existing methods and research experience to users’

needs that have not been addressed up to now by the existing

research;

- consideration of the user expertise, that is becoming a new issue in

the terminological activity, takes into account the fact that

specialized domains contain notions and terms often

non-understandable to non-experts or to laymen (such as patients

within the medical area, or bank clients within banking and economy

areas). This aspect, although related to specialized areas, provides

direct link between specialized languages and general language. It

concerns the challenge to use methods and resources, often designed

for the expert needs, to satisfy the non-expert needs;

- monolingual and multilingual resources: this aspect opens the

possibility for developing cross-lingual and multi-lingual

applications, requires specific corpora, robust methods and tools

which design and evaluation are challenging issues;

- re-utilization and adaptation of terminologies in various NLP

applications: because the terminologies are a necessary component of

any NLP system dealing with domain-specific literature, their use in

the corresponding NLP applications is essential. Re-utilization and

adaptation of terminologies is a challenging research direction,

especially when the terminologies are to be used in new domains or

applications;

- systematic terminology management and updating domain specific

dictionaries and thesauri, that are important aspects for

maintaining the existing terminological resources. These aspects

become crucial because the amount of the existing terminological

resources is constantly increasing and because their perennial and

efficient use depends on their maintenance and updating, while their

re-acquisition is costly and often non-reproducible.

The submissions are open to different approaches, theoretical frameworks and applications. We encourage authors to submit their research work related to various aspects of computational terminology, such as mentioned in this call.

Deadlines - First call for submissions: March 1st, 2017 - Submission deadline: June 1st, 2017 - First acceptance notification: August 1st, 2017 - Modified version: September 1st, 2017 - Final acceptance notification: October 1st, 2017 - Final version ready: November 1st, 2017

Submission Guidelines

Articles should not exceed 9,000 words (excluding references). More information on formatting requirements can be found on the web page (submission guidelines). English is preferred (80% of the contents), but submissions in French, Spanish or German will be considered. Each issue of Terminology contains up to six or seven articles.

Papers should be submitted to EasyChair at the following address:

https://easychair.org/conferences/?conf=terminosi2018

Program Committee

Galia Angelova, Bulgarian Academy of Sciences, Bulgaria Svetla Boytcheva, Bulgarian Academy of Sciences, Bulgaria Béatrice Daille, University of Nantes, France Louise Deléger, INRA, France Yoshihiko Hayashi, Waseda University, Japan Olga Kanishcheva, Kharkiv Polytechnic Institute, Ukraine Veronique Malaise, Elsevier BV, the Netherlands 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

TBC

Guest editors

Patrick Drouin, Observatoire de linguistique Sens-Texte, Université de Montréal Natalia Grabar, CNRS UMR 8163 STL, Université Lille 1&3, Thierry Hamon, LIMSI-CNRS, Université Paris-Saclay & Université Paris 13, Sorbonne Paris Cité, France Kyo Kageura, Library and Information Science Laboratory, University of Tokyo Koichi Takeuchi, Graduate School of Natural Science and Technology, Okayama University

-- Thierry Hamon E-mail : hamon at limsi.fr LIMSI-CNRS Tel: +33 1 69 85 80 39 Institut Galilée - Université Paris 13 Tel: +33 1 49 40 35 53 URL: http://perso.limsi.fr/hamon/



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