A Semantic Cover Approach for Topic Modeling

SEMEVAL 2019 Rajagopal VenkatesaramaniDoug DowneyBradley MalinYevgeniy Vorobeychik

We introduce a novel topic modeling approach based on constructing a semantic set cover for clusters of similar documents. Specifically, our approach first clusters documents using their Tf-Idf representation, and then covers each cluster with a set of topic words based on semantic similarity, defined in terms of a word embedding... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper