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CompuTerm 2020 : Join Workshop on Computational Terminology


When May 16, 2020 - May 16, 2020
Where Marseille, France
Submission Deadline Feb 20, 2020
Notification Due Mar 13, 2020
Final Version Due Mar 25, 2020
Categories    NLP

Call For Papers

Join Workshop on Computational Terminology
CompuTerm 2020

LREC 2020 (Marseille, France)
Sunday, 16th May 2019
Marseille, France

Computational Terminology covers an increasingly important
in a range of areas in Natural Language Processing such as text
mining, information retrieval, information extraction,
textual entailment, document management systems, question-
answering systems, ontology building, machine translation, etc.
Terminological information is paramount for knowledge mining
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
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
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
manually annotated ACTER dataset (Annotated Corpora for Term
Extraction Research), that covers multiple domains and

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
* 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
term extraction using the ACTER dataset. This dataset contains
100k manual annotations in comparable corpora in three different
languages (English, French, and Dutch) and four different
(corruption, dressage, heart failure, and wind energy).
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
domain of heart failure will be provided at a later stage for
evaluation. Participants can choose from different tracks and will
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
etc. All information concerning the shared task is available on

Authors may submit system description papers to CompuTerm
indicating TermEval shared task.


Béatrice Daille, LS2N, University of Nantes, France
Kyo Kageura, Library and Information Science Laboratory,
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,
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

- Long paper submission: up to 8 pages of content, plus 2 pages
references; final versions of long papers: one additional page: up
9 pages with unlimited pages for references

- Short paper submission: up to 4 pages of content, plus 2 pages
references; final version of short papers: up to 5 pages with
unlimited pages for references

PDF files will be submitted electronically via the START
system available soon.


For any inquiries regarding the workshop please send an email to
general session:
TermEval shared task:

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