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Jérôme Goulian

Publications -  10
Citations -  105

Jérôme Goulian is an academic researcher. The author has contributed to research in topics: Spoken language & Parsing. The author has an hindex of 5, co-authored 10 publications receiving 103 citations.

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Proceedings Article

The French MEDIA/EVALDA Project: the Evaluation of the Understanding Capability of Spoken Language Dialogue Systems.

TL;DR: This paper will present and report on the progress of the EVALDA/MEDIA project, focusing on the recording and annotating protocol of the reference dialogue corpus, to design and test an evaluation methodology to compare and diagnose the context-dependent and independent understanding capability of spoken language dialogue systems.
Proceedings Article

Obtaining Predictive Results with an Objective Evaluation of Spoken Dialogue Systems: Experiments with the DCR Assessment Paradigm

TL;DR: Experimental results on spoken language understanding are presented that show the feasibility and the reliability of the DCR evaluation as well as its ability to provide a detailed diagnosis of the system’s behaviour.
Proceedings Article

Predictive and objective evaluation of speech understanding: the "challenge" evaluation campaign of the I3 speech workgroup of the French CNRS.

TL;DR: This paper presented a new paradigm of "challenge" evaluation of Spoken Language Understanding, which aims at a quantitative assessment with a high diagnostic power, by opposition with standard ATIS-like frameworks.

Constitution d'un corpus de dialogue oral pour l'évaluation automatique de la compréhension hors- et en- contexte du dialogue

TL;DR: The EVALDA/MEDIA project as discussed by the authors evaluated spoken language dialogue systems from both academic organizations (CLIPS, IRIT, LIA, LIMSI, LORIA, VALORIA) and industrial sites (FRANCE TELECOM R et D, TELIP) focusing on the recording protocol of the reference dialogue corpus.

Quand le TAL robuste s'attaque au langage parlé : analyse incrémentale pour la compréhension de la parole spontanée

TL;DR: The authors present two systemes de comprehension de parole spontane en situation de dialogue homme-machine finalise, dont les performances montrent la pertinence of ces methodes pour atteindre une comprehension fine and robuste des enonces oraux.