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“How Much Context Do You Need?”: An Experiment About the Context Size in Interactive Cross-Language Question Answering

  • Conference paper
Accessing Multilingual Information Repositories (CLEF 2005)

Abstract

The main topic of this paper is the context size needed for an efficient Interactive Cross-language Question Answering system. We compare two approaches: the first one (baseline system) shows the user whole passages (maximum context: 10 sentences). The second one (experimental system) shows only a clause (minimum context). As cross-language system, the main problem is that the language of the question (Spanish) and the language of the answer context (English) are different. The results show that large context is better. However, there are specific relations between the context size and the knowledge about the language of the answer: users with poor level of English prefer context with few words.

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© 2006 Springer-Verlag Berlin Heidelberg

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Navarro, B., Moreno-Monteagudo, L., Noguera, E., Vázquez, S., Llopis, F., Montoyo, A. (2006). “How Much Context Do You Need?”: An Experiment About the Context Size in Interactive Cross-Language Question Answering. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_32

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  • DOI: https://doi.org/10.1007/11878773_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45697-1

  • Online ISBN: 978-3-540-45700-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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