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)

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