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Bringing Why-QA to Web Search

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Advances in Information Retrieval (ECIR 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6611))

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Abstract

We investigated to what extent users could be satisfied by a web search engine for answering causal questions. We used an assessment environment in which a web search interface was simulated. For 1 401 why-queries from a search engine log we pre-retrieved the first 10 results using Bing. 311 queries were assessed by human judges. We found that even without clicking a result, 25.2% of the why-questions is answered on the first result page. If we count an intended click on a result as a vote for relevance, then 74.4% of the why-questions gets at least one relevant answer in the top-10. 10% of why-queries asked to web search engines are not answerable according to human assessors.

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© 2011 Springer-Verlag Berlin Heidelberg

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Verberne, S., Boves, L., Kraaij, W. (2011). Bringing Why-QA to Web Search. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_48

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  • DOI: https://doi.org/10.1007/978-3-642-20161-5_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20160-8

  • Online ISBN: 978-3-642-20161-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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