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Pseudo Relevance Feedback Using Named Entities for Question Answering

by: Luiz Pizzato, Diego Mollá, and Cécile Paris
In: Proceedings ALTW, Vol. 4 (2006) , p. 83-90.
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Abstract

Relevance feedback has already proven its usefulness in probabilistic information retrieval IR. In this research we explore whether a pseudo relevance feedback technique on IR can improve the Question Answering task QA. The basis of our exploration is the use of relevant named entities from the top retrieved documents as clues of relevance. We discuss two interesting findings from these experiments: the reasons the results were not improved, and the fact that today's metrics of IR evalu ation on QA do not reflect the results obtained by a QA system.

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