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Communication Dans Un Congrès Année : 2012

Morphological resources for precise information retrieval

Résumé

Question answering (QA) systems aim at providing a precise answer to a given user question. Their major difficulty lies in the lexical gap problem between question and answering passages. We present here the different types of morphological phenomena in question answering, the resources available for French, and in particular a resource that we built containing deverbal agent nouns. Then, we evaluate the results of a particular QA system, according to the morphological knowledge used.
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Dates et versions

hal-02282018 , version 1 (09-09-2019)

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Anne-Laure Ligozat, Brigitte Grau, Delphine Tribout. Morphological resources for precise information retrieval. International Conference on Speech Technology and Human-Computer Dialogue, Springer, Sep 2012, Brno, Czech Republic. ⟨10.1007/978-3-642-32790-2_84⟩. ⟨hal-02282018⟩
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