Automatic Extraction of Time Expressions Across Domains in French Narratives

Abstract : The prevalence of temporal references across all types of natural language utterances makes temporal analysis a key issue in Natural Language Processing. This work adresses three research questions: 1/is temporal expression recognition specific to a particular domain? 2/if so, can we characterize domain specificity? and 3/how can subdomain specificity be integrated in a single tool for unified temporal expression extraction? Herein, we assess temporal expression recognition from documents written in French covering three domains. We present a new corpus of clinical narratives annotated for temporal expressions , and also use existing corpora in the newswire and historical domains. We show that temporal expressions can be extracted with high performance across domains (best F-measure 0.96 obtained with a CRF model on clinical narratives). We argue that domain adaptation for the extraction of temporal expressions can be done with limited efforts and should cover pre-processing as well as temporal specific tasks.
Type de document :
Communication dans un congrès
EMNLP: Empirical Methods in Natural Language Processing, Sep 2015, Lisbonne, Portugal. Conference on Empirical Methods in Natural Language Processing, pp.492-498, 2015, 〈http://www.emnlp2015.org〉
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01222642
Contributeur : Mike Donald Tapi Nzali <>
Soumis le : mercredi 6 septembre 2017 - 20:51:58
Dernière modification le : mardi 20 novembre 2018 - 14:04:02
Document(s) archivé(s) le : mercredi 10 janvier 2018 - 10:33:09

Fichier

tapinzaliEMNLPshort2015_final....
Fichiers produits par l'(les) auteur(s)

Licence


Copyright (Tous droits réservés)

Identifiants

  • HAL Id : hal-01222642, version 1

Citation

Mike Donald Tapi Nzali, Xavier Tannier, Aurélie Névéol. Automatic Extraction of Time Expressions Across Domains in French Narratives. EMNLP: Empirical Methods in Natural Language Processing, Sep 2015, Lisbonne, Portugal. Conference on Empirical Methods in Natural Language Processing, pp.492-498, 2015, 〈http://www.emnlp2015.org〉. 〈hal-01222642〉

Partager

Métriques

Consultations de la notice

132

Téléchargements de fichiers

53