A language model approach to keyphrase extraction

1 January 2003

proceedings article
Published by Association for Computational Linguistics (ACL)

Vol. 18, 33-40
https://doi.org/10.3115/1119282.1119287

Abstract

We present a new approach to extracting keyphrases based on statistical language models. Our approach is to use pointwise KL-divergence between multiple language models for scoring both phraseness and informativeness, which can be unified into a single score to rank extracted phrases.

Keywords

MULTIPLE LANGUAGE MODEL
SINGLE SCORE
POINTWISE KL-DIVERGENCE
NEW APPROACH
LANGUAGE MODEL APPROACH
STATISTICAL LANGUAGE MODEL
LANGUAGE MODEL

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