Randomized trial shows an innovative method for keyphrase extraction, suggesting efficient ranking of phrases.
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.
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Tomokiyo et al. (2003) studied this question.
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