Abstract
Information retrieval has traditionally focussed on matching word stems within the scope of individual documents or passages. The Murax system takes a different tack, directed to high-precision retrieval and an explicit organization of answer text which may be assembled from several different documents. For this, shallow linguistic analysis is deployed in a manner such that the robustness afforded by traditional retrieval techniques is maintained.
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© 1999 Springer Science+Business Media Dordrecht
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Kupiec, J.M. (1999). Murax: Finding and Organizing Answers from Text Search. In: Strzalkowski, T. (eds) Natural Language Information Retrieval. Text, Speech and Language Technology, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2388-6_13
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DOI: https://doi.org/10.1007/978-94-017-2388-6_13
Publisher Name: Springer, Dordrecht
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