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CompuTerm 2020 : Join Workshop on Computational Terminology | |||||||||||||||
Link: https://sites.google.com/view/computerm2020 | |||||||||||||||
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Call For Papers | |||||||||||||||
Join Workshop on Computational Terminology
CompuTerm 2020 LREC 2020 (Marseille, France) Sunday, 16th May 2019 Marseille, France https://sites.google.com/view/computerm2020 Computational Terminology covers an increasingly important aspect in a range of areas in Natural Language Processing such as text mining, information retrieval, information extraction, summarization, textual entailment, document management systems, question- answering systems, ontology building, machine translation, etc. Terminological information is paramount for knowledge mining from texts, including bilingual texts, for scientific discovery and competitive intelligence. Scientific needs in fast growing domains (such as biology, medicine, 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. For all specialized domains, multilingual terminology is more and more mandatory. There have been four years between the last Computerm workshop held in Coling 2016. During this period, deep learning and neural methods have become the state of the art for most NLP applications, reaching higher performance on various tasks. This workshop would like to investigate what deep learning brought to computational terminology and its traditional topics, its impact towards human applications, and the new questions within the terminology scope that it raises. The aim of this sixth Computerm workshop is to bring together Natural Language Processing and Human Language Technology researchers as well as terminology researchers and practitioners to discuss recent advances in computational terminology and its impact within automatic and human applications. We also host a special session for the shared task TermEval, which uses the large, manually annotated ACTER dataset (Annotated Corpora for Term Extraction Research), that covers multiple domains and languages. For the general session, we call for submissions in the following areas, though the list does not limit the range of topics: * term extraction * event recognition and extraction * acquisition of semantic relations among terms * distributional semantic analysis * term variation management * definition and terminological context extraction * consideration of the user expertise * monolingual and multilingual terminological resources * robustness and portability of statistical methods including neural methods * detection of unfortunate terminological artefacts * social networks and modern media processing * utilization of terminologies in various NLP applications * evaluation of terminological methods and tools * terminology diversity according to geographical area, layman/academic, gender The workshop submissions are open to different approaches, ranging from term extraction in various languages (using verb co- occurrence, information theoretic approaches, machine learning, etc.), translation pairs extracting from bilingual corpora based on terminology, up to semantic oriented approaches and theoretical aspects of terminology. Computerm 2020 will host the TermEval shared task on monolingual term extraction using the ACTER dataset. This dataset contains over 100k manual annotations in comparable corpora in three different languages (English, French, and Dutch) and four different domains (corruption, dressage, heart failure, and wind energy). Participants in the shared task can enter for one or multiple languages and will get access to the annotated data in three of the domains, while the domain of heart failure will be provided at a later stage for evaluation. Participants can choose from different tracks and will be ranked based on f1-scores of the list of automatically extracted terms on the evaluation corpus. Apart from the scores, there will also be more in-depth evaluations on how the tools handle difficulties, e.g. infrequent terms, single-word vs. multiword terms, etc. All information concerning the shared task is available on http://termeval.ugent.be Authors may submit system description papers to CompuTerm 2020 indicating TermEval shared task. PROGRAM COMMITTEE CHAIRS General: Béatrice Daille, LS2N, University of Nantes, France Kyo Kageura, Library and Information Science Laboratory, University of Tokyo, Japan Ayla Rigouts Terryn, LT3 Language and Translation Technology Team, Ghent University, Belgium TermEval shared task: Patrick Drouin, OLST Observatoire de Linguistique Sens-Texte, Université de Montréal, Canada Els Lefever, LT3 Language and Translation Technology Team, Ghent University, Belgium Ayla Rigouts Terryn, LT3 Language and Translation Technology Team, Ghent University, Belgium Véronique Hoste, Ghent University, Belgium Importante dates: - 1st workshop CFP: 9th December 2019 - Paper due date: 20th February 2020 - Notification of acceptance: 13th March 2020 - Camera-ready deadline: 25th March 2020 - Workshop: Sunday, 16th May 2020 Submission Instructions The submissions should be written in English and anonymized for review and must use the Word or LaTeX template files provided by LREC 2020 (https://lrec2020.lrecconf.org/en/submission2020/authors-kit/). - Long paper submission: up to 8 pages of content, plus 2 pages for references; final versions of long papers: one additional page: up to 9 pages with unlimited pages for references - Short paper submission: up to 4 pages of content, plus 2 pages for references; final version of short papers: up to 5 pages with unlimited pages for references PDF files will be submitted electronically via the START submission system available soon. CONTACT For any inquiries regarding the workshop please send an email to general session: beatrice.daille@univ-nantes.fr TermEval shared task: ayla.rigoutsterryn@ugent.be |
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