N-gram vs. keyword-based passage retrieval for question answering

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Abstract

In this paper we describe the participation of the Universidad Politécnica of Valencia to the 2006 edition, which was focused on the comparison between a Passage Retrieval engine (JIRS) specifically aimed to the Question Answering task and a standard, general use search engine such as Lucene. JIRS is based on n-grams, Lucene on keywords. We participated in three monolingual tasks: Spanish, Italian and French. The obtained results show that JIRS is able to return high quality passages, especially in Spanish. © Springer-Verlag Berlin Heidelberg 2007.

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Buscaldi, D., Gomez, J. M., Rosso, P., & Sanchis, E. (2007). N-gram vs. keyword-based passage retrieval for question answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4730 LNCS, pp. 377–384). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_45

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