Semi-automatic labeling of coreferent named entities: an experimental study

Erwan Moreau (1) , François Yvon (2) , Olivier Cappé (3)

1 Télécom ParisTech
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
3 LTCI - Laboratoire Traitement et Communication de l'Information

In this paper, we investigate the problem of matching coreferent named entities extracted from text collections in a robust way: our long-term goal is to build similarity methods without (or with the minimum amount of) prior knowledge. In this framework, string similarity measures are the main tool at our disposal. Here we focus on the problem of evaluating such a task, especially in finding a methodology to label the data in a semi-automatic way.

Mots clés: Named entites matching; Evaluation

Domaines: Traitement du texte et du document

Erwan Moreau, François Yvon, Olivier Cappé. Semi-automatic labeling of coreferent named entities: an experimental study. LREC 2008 workshop W15: 'Resources and Evaluation for Identity Matching, Entity Resolution and Entity Management', 2008, Marrakech, Morocco. pp.1-7. ⟨hal-00487082⟩