Call for Participation

COLING 2016 workshop

5th International Workshop on Computational Terminology (COMPUTERM 2016)

12th December 2016
Osaka, Japan


The fifth International Workshop on Computational Terminology will be
held in conjunction with the COLING 2016 conference and will take place
in Osaka, Japan.

Invited speaker

Min Song (Dept. of Lib. and Info. Science, Text and Social Media
Mining Lab, Yonsei University, Seoul, Republic of Korea)
Analyzing Impact, Trend, and Diffusion of Knowledge associated with
Neoplasms Research

Accepted papers

Oral presentations

Contextual term equivalent search using domain-driven disambiguation
Caroline Barriere, Pierre André Ménard and Daphnée Azoulay

A Method of Augmenting Bilingual Terminology by Taking Advantage of
the Conceptual Systematicity of Terminologies
Miki Iwai, Koichi Takeuchi and Kyo Kageura

Acquisition of semantic relations between terms: how far can we get
with standard NLP tools?
Ina Roesiger, Julia Bettinger, Johannes Schäfer and Ulrich Heid

Local-Global Vectors to Improve Unigram Terminology Extraction
Ehsan Amjadian, Diana Inkpen, Tahereh Paribakht and Farahnaz Faez

Recognition of non-domain phrases in automatically extracted lists of
Agnieszka Mykowiecka, Malgorzata Marciniak and Piotr Rychlik

Short oral presentations

A Supervised Classifier for Automatic Term Recognition
YU Yuan, Jie Gao and Serge Sharoff


A semi automatic annotation approach for ontological and
terminological knowledge acquisition
Driss Sadoun

A Study on the Interplay Between the Corpus Size and Parameters of a
Distributional Model for Term Classification
Behrang QasemiZadeh

Constructing and Evaluating Controlled Bilingual Terminologies
Rei Miyata and Kyo Kageura

Evaluating a dictionary of human phenotype terms focusing on rare
Simon Kocbek, Toyofumi Fujiwara, Jin-Dong Kim and Tudor Groza

Evaluation of distributional semantic models: a holistic approach
Gabriel Bernier-Colborne and Patrick Drouin

Pattern-based Word Sketches for the Extraction of Semantic Relations
Pilar León-Araúz, Antonio San Martín and Pamela Faber

Providing and Analyzing NLP Terms for our Community
Gil Francopoulo, Joseph Mariani, Patrick Paroubek and Frédéric Vernier

Understanding Medical free text: A Terminology driven approach
Santosh Sai Krishna and Manoj Hans

About the Workshop

This workshop proposal is a continuation of previous Computerm
workshops. The last Computerm
( was joined to the
previous COLING conference in 2014.

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, etc.  Terminological information is paramount for knowledge
mining from texts for scientific discovery and competitive
intelligence. 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 fifth CompuTerm workshop is to bring together Natural
Language Processing researchers to discuss recent advances in
computational terminology and its impact in many NLP applications.
The topics addressed in this workshop are wide ranging:

- term extraction, recognition and filtering, which is the core of the
  terminological activity that lays basis for other terminological
  topics and tasks;

- event recognition and extraction, that extends the notion of the
  terminological entity from terms meaning static units up to terms
  meaning procedural and dynamic processes;

- acquisition of semantic relations among terms, which is also an
  important research topic as the acquisition of semantic
  relationships between terms finds applications such as the
  population and update of existing knowledge bases, definition of
  domain specific templates in information extraction and
  disambiguation of terms;

- term variation management, that helps to deal with the dynamic
  nature of terms, their acquisition from heterogeneous sources, their
  integration, standardisation and representation for a large range of
  applications and resources, is also increasingly important, as one
  has to address this research problem when working with various
  controlled vocabularies, thesauri, ontologies and textual data.
  Term variation is also related to their paraphrases and
  reformulations, due to historical, regional, local or personal
  issues. Besides, the discovery of synonym terms or term clusters is
  equally beneficial to many NLP applications;

- definition acquisition, that covers important research and aims to
  provide precise and non-ambiguous description of terminological
  entities.  Such definitions may contain elements necessary for the
  formal description of terms and concepts within ontologies;

- 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

- 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;

- monolingual and multilingual resources, that open the possibility
  for developing cross-lingual and multi-lingual applications,
  requires specific corpora, methods and tools which design and
  evaluation are challenging issues;

- robustness and portability of methods, which allows to
  apply methods developed in one given context to other contexts
  (corpora, domains, languages, etc.) and to share the research
  expertise among them;

- social netwoks and modern media processing, that attracts
  an increasing number of researchers and that provides challenging
  material to be processed;

- utilization of terminologies in various NLP applications, as they
  are a necessary component of any NLP system dealing with
  domain-specific literature, is another novel and challenging
  research direction.

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.

Besides, experiments on the evaluation of terminological methods and
tools are also encouraged since they provide interesting and useful
proof about the utility of terminological resources:

- direct evaluation may concern the efficiency of the terminological
  methods and tools to capture the terminological entities and
  relations, as well as various kinds of related information;

- indirect evaluation may concern the use of terminological resources
  in various NLP applications and the impact these resources have on
  the performance of the automatic systems.  In this case, research
  and competition tracks (such as TREC, BioCreative, CLEF,
  CLEF-eHealth, I2B2, *SEM, and other shared tasks), provide
  particularly fruitful evaluation contexts and proved very successful
  in identifying key problems in terminology such as term variation
  and ambiguity.

Programme Committee

- Lynne Bowker, University of Ottawa, Canada
- Béatrice Daille, University of Nantes, France
- Louise Deléger, INRA, France
- Gregory Grefenstette, INRIA, University Paris Sud, France
- Yoshihiko Hayashi, Waseda University, Japan
- Olga Kanishcheva, Kharkiv Polytechnic Institute, Ukraine
- Georgios Kontonatsios, NaCTeM, University of Manchester, UK
- Marie-Claude L'Homme, University of Montréal, Canada
- Philippe Langlais, RALI, Canada
- 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
- Karine Verspoor, University of Melbourne, Australia
- Jorge Vivaldi Palatresi, University Pompeu Fabra, Spain
- Pierre Zweigenbaum, LIMSI, France


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

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