Automatically Generating a Concept Hierarchy with Graphs

Abstract

We propose a novel graph-based approach for constructing concept hierarchy from a large text corpus. Our algorithm incorporates both statistical co-occurrences and lexical similarity in optimizing the structure of the taxonomy. To automatically generate topic-dependent taxonomies from a large text corpus, we first extracts topical terms and their… (More)
DOI: 10.1145/2756406.2756967

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