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

  • Authors:
  • Davide Buscaldi;José Manuel Gomez;Paolo Rosso;Emilio Sanchis

  • Affiliations:
  • Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain;Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain;Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain;Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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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.