Propagation Strategies for Building Temporal Ontologies

Mohammed Hasanuzzaman (1) , Gaël Dias (1) , Stéphane Ferrari (1) , Yann Mathet (1)

1 Equipe Hultech - Laboratoire GREYC - UMR6072

In this paper, we propose to build temporal ontologies from WordNet. The underlying idea is that each synset is augmented with its temporal connotation. For that purpose, temporal classifiers are iteratively learned from an initial set of time-sensitive synsets and different propagation strategies to give rise to different TempoWordNets.

Domaines: Traitement du texte et du document; Apprentissage [cs.LG]

Mohammed Hasanuzzaman, Gaël Dias, Stéphane Ferrari, Yann Mathet. Propagation Strategies for Building Temporal Ontologies. 14th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2014, Gotenburg, Sweden. pp.PP6-11. ⟨hal-01074969⟩