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arXiv · 1204.0255

Keyphrase Extraction : Enhancing Lists

Mario Jarmasz·Caroline Barrière
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Abstract

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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Mario Jarmasz, Caroline Barrière. 2012-04-01. Keyphrase Extraction : Enhancing Lists. https://arxiv.org/abs/1204.0255

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