[Elsnet-list] Call for participation: EACL workshop Innovative hybrid approaches to the processing of textual data (HYBRID 2012)

Thierry Hamon thierry.hamon at univ-paris13.fr
Sun Mar 11 22:30:07 CET 2012

Call for Participation

EACL 2012 workshop on

Innovative hybrid approaches to the processing of textual data (HYBRID 2012)

April 23, 2012
Avignon, France

** Early registration by March 19, 2012 **

The first Workshop on Innovative hybrid approaches to the processing
of textual data will be held in conjunction with the 13th Conference
of the European Charter of the Association for Computational
Linguistics (EACL 2012) which will take place in April 23-27, 2012, in
Avignon, France.

About the Workshop

The hybrid approach term covers a large set of situations in which
different approaches are combined in order to better process textual data
and to attempt a better achievement of the dedicated task.

Among the hybridizations the possible combinations are unlimited. The most
frequent combination, as stressed during The Balancing Act in 1994,
addressed machine learning and rule-based systems. Beyond this, the
hybridization can be augmented with distributionnal approaches, syntactic
and morphological analyses, semantic distances and similarities, graph
theory models, cooccurrences of linguistic units (e.g., word and their
dependencies, word senses and pos-tag, NEs and semantic roles,...),
knowledge-based approaches (terminologies and ontologies), etc.

As a matter of fact, the hybridization implies to define a strategy to
efficiently combine several approaches: cooperation between approaches,
filtering, voting or ranking of the multiple system outputs, etc.

Indeed, the combination of these different methods and approaches appears
to provide more complete and performant results. The reason is that each
method is sensitive and efficient with given data and within given
contexts. Hence, their combination may improve both precision and recall.
The coverage is indeed improved, while the exploitation of different
methods may also lead to the improvement of the precision since their use
within filtering, voting etc. modes becomes possible.

In this workshop, we favour the extended meaning of the hybridization of
methods, applied to various application areas, such as:
    automatic creation of linguistic resources
    POS tagging
    building and structuring of terminologies
    information retrieval and filtering
    information extraction
    linguistic annotation
    semantic labeling
    sign language recognition and transcription
    oral data transcription
    filtering and validation of lexical resources
    text summarization
    question/answering system
    natural language generation

Invited speaker

Rada Mihalcea, University of North Texas, USA
Multilingual Natural Language Processing and Graph-based Algorithms for
Natural Language Processing (TBC)

Accepted papers

Incorporating Linguistic Knowledge in Statistical Machine Translation:
Translating Prepositions
Reshef Shilon, Hanna Fadida and Shuly Wintner

An Unsupervised and Data-Driven Approach for Spell Checking in Vietnamese
OCR-scanned Texts
Cong Duy Vu Hoang and Ai Ti Aw

Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition
Goran Glavaš, Jan Šnajder and Bojana Dalbelo Bašić

Hybrid Combination of Constituency and Dependency Trees into an Ensemble
Dependency Parser
Nathan Green and Zdeněk Žabokrtský

Describing Video Contents in Natural Language
Muhammad Usman Ghani Khan and Yoshihiko Gotoh

Combining Different Summarisation Techniques for Legal Text
Filippo Galgani, Paul Compton and Achim Hoffmann

A Study of Hybrid Similarity Measures for Semantic Relation Extraction
Alexander Panchenko and Olga Morozova

Accepted posters

Contrasting objective and subjective Portuguese texts from heterogeneous
Michel Genereux and William Martinez

A Joint Named Entity Recognition and Entity Linking System
Rosa Stern, Benoît Sagot and Frédéric Béchet

Applicability Verification of a New ISO Standard for Dialogue Act
Annotation with the Switchboard Corpus
Alex C. Fang, Harry Bunt, Jing Cao and Xiaoyue Liu

Coupling Knowledge-Based and Data-Driven Systems for Named Entity Recognition
Damien Nouvel, Jean-Yves Antoine, Nathalie Friburger and Arnaud Soulet

A random forest system combination approach for error detection in digital
Michael Bloodgood, Peng Ye, Paul Rodrigues, David Doermann and David Zajic

A Hybrid Methodology for Automatic Creation of Linguistic Resources in
Multiple Languages
Svetlana Sheremetyeva

Methods Combination and ML-based Re-ranking of Multiple Hypothesis for
Question-Answering Systems
Arnaud Grappy, Brigitte Grau and Sophie Rosset

A generalised hybrid architecture for NLP
Alistair Willis, Hui Yang and Anne De Roeck

Programme Committee
Anders Ardö, EIT, LTH, Lund University, Sweden
Delphine Bernhard, LiLPa, Université de Strasbourg, France
Wray Duntine, NICTA, Australia
Philipp Cimiano, CITEC, University of Bielefeld, Germany
Vincent Claveau, IRISA-CNRS, Rennes, France
Kevin Cohen, University of Colorado Health Sciences Center, USA
Marie-Claude l'Homme, OLST, Université de Montreal, Canada
Béatrice Daille, Université de Nantes, LINA, France
Stefan Th. Gries, University of California, Santa Barbara, USA
Anna Kazantseva, University of Ottawa, Canada
Mikaela Keller, CNRS LIFL UMR8022, Mostrare INRIA, Université Lille 1&3,
Alistair Kennedy, University of Ottawa, Canada
Ben Leong, University of North Texas, USA
Pierre Nugues, CS, LTH, Lund University, Sweden
Bruno Pouliquen, WIPO, Geneva, Switzerland
Sampo Pyysalo, National Centre for Text Mining, University of Manchester,
United Kingdom
Mathieu Roche, LIRMM, Université de Montpellier 2, France
Patrick Ruch, Haute école de gestion de Genève, Switzerland
Paul Thompson, National Centre for Text Mining, University of Manchester,
United Kingdom
Juan-Manuel Torres Moreno, LIA, Université d'Avignon et des Pays de
Vaucluse, France
Özlem Uzuner, University at Albany, State University of New York, USA

Natalia Grabar, CNRS UMR 8163 STL, Université Lille 1&3, France
Marie Dupuch, CNRS UMR 8163 STL, Université Lille 1&3, France
Amandine Périnet, LIM&BIO, Université Paris 13, France
Thierry Hamon, LIM&BIO, Université Paris 13, France

Thierry Hamon                      E-mail : thierry.hamon at univ-paris13.fr
Laboratoire d'Informatique Médicale et Bioinformatique - LIM&BIO (EA3969)
UFR SMBH Léonard de Vinci et Institut Galilée
Université Paris 13                                Tel: +33 1 49 40 35 53
74, rue Marcel Cachin                              Tel: +33 1 48 38 73 07
93017 Bobigny Cedex France                         Fax: +33 1 48 38 73 55
URL: http://www-limbio.smbh.univ-paris13.fr/membres/hamon

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