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.
REF use pointwise KLdivergence between multiple language models for scoring both phraseness and informativeness of phrases.
A Language Model Approach To Keyphrase Extraction
Workshop On Multiword Expressions: Analysis, Acquisition And Treatment
Computer Science