Abstract
This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by means of a similarity measure based on bags of words extracted from both the snippets and the articles in wikipedia. Our participation was in the monolingual English and Spanish tasks. We obtained the best results in the Spanish one. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Buscaldi, D., & Rosso, P. (2007). A bag-of-words based ranking method for the Wikipedia question answering task. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4730 LNCS, pp. 550–553). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_67
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