Keyphrase Extraction : Enhancing Lists

Details Keyphrase Extraction : Enhancing Lists Keyphrase Extraction : Enhancing Lists

2012-04-01

arxiv.org/abs/1204.0255v1

Computer Science

Computation and Language

8 pages; Proceedings of the 2nd Conference on Computational Linguistics in the North-East (CLiNE 2004), Montr\'eal, Canada, Au

Scientific paper

This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second is clustering according to semantic similarity. Evaluation issues are discussed. We present a novel technique of comparing extracted keyphrases to a gold standard which relies on semantic similarity rather than string matching or an evaluation involving human judges.

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