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Communication Dans Un Congrès Année : 2006

Natural Language Processing and XML Retrieval.

Résumé

XML information retrieval (XML-IR) systems respond to user queries with results more specific than documents. XML-IR queries contain both bontent and structural requirements traditionally expressed in a formal language. However, an intuitive alternative is natural language queries (NLQs). Here, we discuss three approaches for handling NLQs in an XML-IR system that are comparable to, and even outperform formal language queries.
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Dates et versions

hal-00262249 , version 1 (11-03-2008)

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  • HAL Id : hal-00262249 , version 1

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Alan Woodley, Shlomo Geva, Marcus Hassler, Xavier Tannier. Natural Language Processing and XML Retrieval.. Australasian Language Technology Workshop (ALTW 2006), 2006, Sidney, Australia. ⟨hal-00262249⟩
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