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Communication Dans Un Congrès Année : 2007

Towards an automatic validation of answers in Question Answering

Résumé

Question answering (QA) aims at retrieving precise information from a large collection of documents. Different techniques can be used to find relevant information, and to compare these techniques, it is important to evaluate QA systems. The objective of an Answer Validation task is thus to judge the correctness of an answer returned by a QA system for a question, according to the text snippet given to support it. We participated in such a task in 2006. In this article, we present our strategy for deciding if the snippets justify the answers: a strategy based on our own QA system, comparing the answers it returned with the answer to judge. We discuss our results, then we point out the difficulties of this task.
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Dates et versions

hal-02307180 , version 1 (07-10-2019)

Identifiants

  • HAL Id : hal-02307180 , version 1

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Anne-Laure Ligozat, Brigitte Grau, Anne Vilnat, Isabelle Robba, Arnaud Grappy. Towards an automatic validation of answers in Question Answering. 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), Oct 2007, Patras, Greece. pp.444--447. ⟨hal-02307180⟩
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