Abstract
This work1 presents Mdef-WQA, a system that searches for answers to definition questions in several languages on web snippets. For this purpose, Mdef-WQA biases the search engine in favour of some syntactic structures that often convey definitions. Once descriptive sentences are identified, Mdef-WQA clusters them by potential senses and presents the most relevant phrases of each potential sense to the user. The approach was assessed with TREC and CLEF data. As a result, Mdef-WQA was able to extract descriptive information for all definition questions in the TREC 2001 and 2003 data-sets. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Figueroa, A., & Neumann, G. (2007). A multilingual framework for searching definitions on Web snippets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4667 LNAI, pp. 144–159). Springer Verlag. https://doi.org/10.1007/978-3-540-74565-5_13
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