Ranking Definitions With Supervised Learning Methods

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Source: International World Wide Web Conference Committee

Date: January 2008

Type: White Paper

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Overview: This International World Wide Web Conference Committee paper concerns with the problem of definition search. The authors retrieve definitional excerpts of the term and rank the extracted excerpts according to their likelihood of being good definitions. This is in contrast to the traditional approaches of either generating a single combined definition or simply outputting all retrieved definitions. Definition ranking is essential for the task. Methods for performing definition ranking are proposed in this paper, which formalize the problem as either classification or ordinal regression.

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