Unsupervised Keyphrase Extraction with Multipartite Graphs

Code

• github.com/boudinfl/pke
  OfficialIn papernone★ 0

Abstract

We propose an unsupervised keyphrase extraction model that encodes topical information within a multipartite graph structure. Our model represents keyphrase candidates and topics in a single graph and exploits their mutually reinforcing relationship to improve candidate ranking. We further introduce a novel mechanism to incorporate keyphrase selection preferences into the model. Experiments conducted on three widely used datasets show significant improvements over state-of-the-art graph-based models.

Tasks

Reproductions