Surface Realisation from Knowledge-Bases

Bikash Gyawali 1 Claire Gardent 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We present a simple, data-driven approach to generation from knowledge bases (KB). A key feature of this approach is that grammar induction is driven by the extended domain of locality principle of TAG (Tree Adjoining Grammar); and that it takes into account both syntactic and semantic information. The resulting extracted TAG includes a unification based semantics and can be used by an existing surface realiser to generate sentences from KB data. Experimental evaluation on the KBGen data shows that our model outperforms a data-driven generate-and-rank approach based on an automatically induced probabilistic grammar; and is comparable with a handcrafted symbolic approach.
Type de document :
Communication dans un congrès
ACL. the 52nd Annual Meeting of the Association for Computational Linguistics, Jun 2014, Baltimore, United States. pp.424-434, 2014
Liste complète des métadonnées

Littérature citée [38 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01021916
Contributeur : Claire Gardent <>
Soumis le : mercredi 9 juillet 2014 - 19:10:35
Dernière modification le : mardi 24 avril 2018 - 13:21:59
Document(s) archivé(s) le : jeudi 9 octobre 2014 - 12:53:13

Fichier

acl14-gyawali.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-01021916, version 1

Collections

Citation

Bikash Gyawali, Claire Gardent. Surface Realisation from Knowledge-Bases. ACL. the 52nd Annual Meeting of the Association for Computational Linguistics, Jun 2014, Baltimore, United States. pp.424-434, 2014. 〈hal-01021916〉

Partager

Métriques

Consultations de la notice

176

Téléchargements de fichiers

275