Term Association Analysis for Named Entity Filtering - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2012

Term Association Analysis for Named Entity Filtering

Résumé

This paper describes the participation of the Universities of Helsinki and Caen in the rst round of the TREC Knowledge Base Acceleration track3. The task focused on ltering a stream of documents relevant to a set of entities. Our approach uses word co-occurrence graphs for modelling the named entities. We submitted two runs that achieved an average F-measure superior to the mean of all submitted runs. The best of those runs ranked in the top 5 runs for both the central and relevant F-measures, out of a total of 43 runs submitted by 11 institutions. As our runs were the produce of a rst implementation of our approach, these preliminary results are very supportive of our idea to use concept graphs for modelling named entity relations.
Fichier principal
Vignette du fichier
CHS-GROSS-2012-1.pdf (397.59 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01071724 , version 1 (06-10-2014)

Identifiants

  • HAL Id : hal-01071724 , version 1

Citer

Oskar Gross, Antoine Doucet, Hannu Toivonen. Term Association Analysis for Named Entity Filtering. Voorhees, Ellen M. and Buckland, Lori P. Twentieth Text REtrieval Conference, TREC 2012, National Institute of Standards and Technology (NIST), pp.10, 2012. ⟨hal-01071724⟩
77 Consultations
60 Téléchargements

Partager

Gmail Facebook X LinkedIn More