When temporal expressions help to detect vital documents related to an entity

Rafik Abbes (1) , Karen Pinel-Sauvagnat (2) , Nathalie Jane Hernandez (3, 4) , Mohand Boughanem (2, 5)

1 IRIT-IRIS - Recherche d’Information et Synthèse d’Information
2 IRIT-SIG - Systèmes d’Informations Généralisées
3 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
4 UT2J - Université Toulouse - Jean Jaurès
5 UT3 - Université Toulouse III - Paul Sabatier

In this paper we aim at filtering documents containing timely relevant information about an entity (e.g., a person, a place, an organization) from a document stream. These documents that we call vital documents provide relevant and fresh information about the entity. The approach we propose leverages the temporal information reflected by the temporal expressions in the document in order to infer its vitality. Experiments carried out on the 2013 TREC Knowledge Base Acceleration (KBA) collection show the effectiveness of our approach compared to state-of-the-art ones.

Mots clés: Temporal expressions; Vital documents; Entity; Document filtering; TREC knowledge base acceleration

Domaines: Théorie de l'information [cs.IT]; Recherche d'information [cs.IR]

Rafik Abbes, Karen Pinel-Sauvagnat, Nathalie Jane Hernandez, Mohand Boughanem. When temporal expressions help to detect vital documents related to an entity. ACM SIGAPP applied computing review : a publication of the Special Interest Group on Applied Computing, 2015, 15 (3), pp.49-58. ⟨hal-01282057⟩