Marc El-Bèze

Also published as: Marc El-Beze, M. El-Bèze


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Classification and Optimization Algorithms: the LIA/ADOC participation at DEFT’14 (Algorithmes de classification et d’optimisation : participation du LIA/ADOC à DEFT’14) [in French]
Luis Adrián Cabrera-Diego | Stéphane Huet | Bassam Jabaian | Alejandro Molina | Juan-Manuel Torres-Moreno | Marc El-Bèze | Barthélémy Durette
TALN-RECITAL 2014 Workshop DEFT 2014 : DÉfi Fouille de Textes (DEFT 2014 Workshop: Text Mining Challenge)


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Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems
Julien Gaillard | Marc El-Beze | Eitan Altman | Emmanuel Ethis
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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SegCV : Eficient parsing of résumés with analysis and correction of errors (SegCV : traitement efficace de CV avec analyse et correction d’erreurs) [in French]
Luis Adrián Cabrera-Diego | Juan-Manuel Torres-Moreno | Marc El-Bèze
Proceedings of TALN 2013 (Volume 2: Short Papers)

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Search and usage of named conceptual entities in a categorisazion task (Recherche et utilisation d’entités nommées conceptuelles dans une tâche de catégorisation) [in French]
Jean-Valère Cossu | Juan-Manuel Torres-Moreno | Marc El-Bèze
Proceedings of TALN 2013 (Volume 2: Short Papers)


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DECODA: a call-centre human-human spoken conversation corpus
Frederic Bechet | Benjamin Maza | Nicolas Bigouroux | Thierry Bazillon | Marc El-Bèze | Renato De Mori | Eric Arbillot
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The goal of the DECODA project is to reduce the development cost of Speech Analytics systems by reducing the need for manual annotat ion. This project aims to propose robust speech data mining tools in the framework of call-center monitoring and evaluation, by means of weakl y supervised methods. The applicative framework of the project is the call-center of the RATP (Paris public transport authority). This project tackles two very important open issues in the development of speech mining methods from spontaneous speech recorded in call-centers : robus tness (how to extract relevant information from very noisy and spontaneous speech messages) and weak supervision (how to reduce the annotation effort needed to train and adapt recognition and classification models). This paper describes the DECODA corpus collected at the RATP during the project. We present the different annotation levels performed on the corpus, the methods used to obtain them, as well as some evaluation o f the quality of the annotations produced.


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A Scalable MMR Approach to Sentence Scoring for Multi-Document Update Summarization
Florian Boudin | Marc El-Bèze | Juan-Manuel Torres-Moreno
Coling 2008: Companion volume: Posters


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Question Answering Evaluation Survey
L. Gillard | P. Bellot | M. El-Bèze
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Evaluating Question Answering (QA) Systems is a very complex task: state-of-the-art systems involve processing whose influences and contributions on the final result are not clear and need to be studied. We present some key points on different aspects of the QA Systems (QAS) evaluation: mainly, as performed during large-scale campaigns, but also with clues on the evaluation of QAS typical software components; the last part of this paper, is devoted to a brief presentation of the French QA campaign EQueR and presents two issues: inter-annotator agreement during campaign and the reuse of reference patterns.


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Using a Word Sense Disambiguation system for translation disambiguation: the LIA-LIDILEM team experiment
Grégoire Moreau de Montcheuil | Marc El-Bèze | Boxing Chen | Olivier Kraif
Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text


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Improving WSD with Multi-Level View of Context Monitored by Similarity Measure
Eric Crestan | Marc El-Bèze | Claude de Loupy
Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems


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Using Few Clues Can Compensate the Small Amount of Resources Available for Word Sense Disambiguation
Claude de Loupy | Marc El-Bèze
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)


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Automatic Lexicon Enhancement by Means of Corpus Tagging
Frederic Bechet | Thierry Spriet | Marc El-Beze
Interactive Spoken Dialog Systems: Bringing Speech and NLP Together in Real Applications


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Coupling an Automatic Dictation System With a Grammar Checker
Jean-Pierre Chanod | Marc El-Beze | Sylvie Guillemin-Lanne
COLING 1992 Volume 3: The 15th International Conference on Computational Linguistics