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Searching for named entities has been the subject of many researches in information retrieval. In this paper, we seek to determine whether a named entity is of a given type and in what extent it is. We propose to address this issue by an unsupervised web oriented language modeling approach. In addition, we want to determine if this new information can be used to improve the ranking of candidate answers (entities) in respect to a natural language question. To evaluate these two points, we participated to the TREC 2010 Entity track.

Une approche non supervisée pour le typage et la validation d'une réponse à une question en langage naturel : application à la tâche Entity de TREC 2010