Using MMIL for the High Level Semantic Annotation of the French MEDIA Dialogue Corpus

Lina Maria Rojas Barahona 1 Thierry Bazillon 2 Matthieu Quignard 3 Fabrice Lefèvre 2
1 TALARIS - Natural Language Processing: representation, inference and semantics
Inria Nancy - Grand Est, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 UAPV - Université d'Avignon et des Pays de Vaucluse
3 INRIA Lorraine
Abstract : The MultiModal Interface Language formalism (MMIL) has been selected as the High Level Semantic (HLS) formalism for annotating the French MEDIA dialogue corpus. This corpus is composed of human-machine dialogues in the domain of hotel reservation and tourist information. Utterances in dialogues have been previously annotated with a concept-value flat semantics for studying and evaluating spoken language understanding modules in dialogue systems. We are now interested in investigating the use of more complex representations to improve the understanding capability. The MMIL intermediate language is a high level semantic formalism that bears relevant linguistic information, from syntax up to discourse. This representation should increase the expressivity of the current annotation though at the expense of the annotation process complexity. In this paper we present our first attempt in defining the annotation guidelines for the HLS annotation of the MEDIA corpus and its effect on the annotation process itself, revealed by annotators' disagreements due to the different levels of hierarchy and the granularity of the features defined in MMIL.
Type de document :
Communication dans un congrès
Johan Bos and Stephen Pulman. Ninth International Conference on Computational Semantics - IWCS 2011, Jan 2011, London, United Kingdom. 2011
Liste complète des métadonnées

Littérature citée [4 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00638000
Contributeur : Lina Maria Rojas Barahona <>
Soumis le : jeudi 3 novembre 2011 - 17:10:04
Dernière modification le : jeudi 11 janvier 2018 - 06:21:35
Document(s) archivé(s) le : jeudi 15 novembre 2012 - 11:06:04

Fichier

HLSCertifiedAnnIWCSShort.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00638000, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Lina Maria Rojas Barahona, Thierry Bazillon, Matthieu Quignard, Fabrice Lefèvre. Using MMIL for the High Level Semantic Annotation of the French MEDIA Dialogue Corpus. Johan Bos and Stephen Pulman. Ninth International Conference on Computational Semantics - IWCS 2011, Jan 2011, London, United Kingdom. 2011. 〈inria-00638000〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

287

Téléchargements de fichiers

159

Contact


archive-ouverte@inria.fr