@inproceedings{ed9ff0532c3f4ae884f9472923f3e97b,
title = "Pseudo relevance feedback using named entities for question answering",
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{\textquoteright}s metrics of IR evaluation on QA do not reflect the results obtained by a QA system.",
author = "Pizzato, {Luiz Augusto} and Diego Moll{\'a} and C{\'e}cile Paris",
year = "2006",
language = "English",
isbn = "1741081467",
series = "Proceedings of the Australasian Language Technology Workshop",
publisher = "Australasian Language Technology Association",
pages = "83--90",
editor = "Lawrence Cavedon and Ingrid Zukerman",
booktitle = "Proceedings of the 2006 Australasian language technology workshop 2006, November 30-December 1, 2006, Sancta Sophia College, Sydney",
note = "Australasian Language Technology Association Workshop ; Conference date: 30-11-2006 Through 01-12-2006",
}