Conf: COMPUTERM 2014, COLING workshop, 23 August 2014, Dublin, Ireland
Thierry Hamon
hamon at LIMSI.FR
Tue Aug 5 19:29:49 UTC 2014
date: Sat, 02 Aug 2014 16:05:53 +0200
from: "Natalia GRABAR" <natalia.grabar at univ-lille3.fr>
message-id: <e9c7-53dcf080-19-1c9b47c0 at 79805891>
X-url: http://perso.limsi.fr/hamon/Computerm2014/
Call for Participation
COLING 2014 workshop
4th International Workshop on Computational Terminology (COMPUTERM 2014)
23 August 2014
Dublin, Ireland
http://perso.limsi.fr/hamon/Computerm2014/
********************************************************************
The fourth International Workshop on Computational Terminology will be
held in conjunction with the COLING 2014 conference and will take place
in Dublin, Ireland.
==================
Invited speaker
==================
Noemie Elhadad (Department of Biomedical Informatics, Columbia
University, USA)
Terminology questions in texts authored by patients
==================
Accepted papers
==================
Generalising and normalising distributional contexts to reduce data
sparsity: application to medical corpora
Amandine Périnet and Thierry Hamon
Assigning Terms to Domains by Document Classification
Robert Gaizauskas, Emma Barker, Monica Lestari Paramita, Ahmet Aker
Identification of Bilingual Terms from Monolingual Documents for
Statistical Machine Translation
Mihael Arcan, Claudio Giuliano, Marco Turchi, Paul Buitelaar
NPMI driven recognition of nested terms
Malgorzata Marciniak and Agnieszka Mykowiecka
Bilingual Termbank Creation via Log-Likelihood Comparison and
Phrase-Based Statistical Machine Translation
Rejwanul Haque, Sergio Penkale, Andy Way
The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and
Classification in Computational Linguistics
Behrang Q. Zadeh and Siegfried Handschuh
==================
Accepted posters
==================
Building the interface between experts and linguists in the detection
and characterisation of neology in the field of neurosciences
Jesús Torres-del-Rey and Nava Maroto
A comparative User Evaluation of Terminology Management Tools for
Interpreters
Hernani Costa, Gloria Corpas Pastor, Isabel Durán Muñoz
Automatic Annotation of Parameters from Nanodevice Development Research
Papers
Thaer M. Dieb, Masaharu Yoshioka, Shinjiroh Hara, Marcus C. Newton
Evaluating Term Extraction Methods for Interpreters
Ran Xu and Serge Sharoff
Unsupervised method for the acquisition of general language paraphrases
for medical compounds
Natalia Grabar and Thierry Hamon
Identifying Portuguese Multiword Expressions using Different
Classification Algorithms - A Comparative Analysis
Alexsandro Fonseca, Fatiha Sadat, Alexandre Blondin Massé
Towards Automatic Distinction between Specialized and Non-Specialized
Occurrences of Verbs in Medical Corpora
Ornella Wandji Tchami and Natalia Grabar
==================
About the Workshop
==================
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 fourth 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 nonambiguous 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 nonunderstandable
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;
- 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
===================
- Sophia Ananiadou, University of Manchester, National Centre for Text
Mining, UK
- Olivier Bodenreider, NLM, USA
- Beatrice Daille, IRIN, France
- Éric Gaussier, LIG, Université Joseph Fourier, France
- Gregory Grefenstette, Clairvoyance Corp, France
- Marie-Claude L'Homme, University of Montréal, Canada
- Philippe Langlais, RALI, Canada
- John McNaught, UMIST & National Centre for Text Mining, UK
- Rogelio Nazar, University Pompeu Fabra, Spain
- Goran Nenadic, University of Manchester, UK
- Jorge Vivaldi Palatresi, University Pompeu Fabra, Spain
- Selja Seppälä, University at Buffalo, USA
- Karine Verspoor, The University of Melbourne, Australia
- Pierre Zweigenbaum, LIMSI, France
============
Organisation
============
- Patrick Drouin, Observatoire de linguistique Sens-Texte, Université de
Montréal, Montréal, Canada
- Natalia Grabar, CNRS UMR 8163 STL, Université Lille 1&3, Villeneuve
d'Ascq
- Thierry Hamon, LIMSI-CNRS, Orsay, France & Université Paris 13,
Sorbonne Paris Cité, Villetaneuse, France
- Kyo Kageura, Library and Information Science Laboratory, University of
Tokyo, Tokyo, Japan
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