Enriching WordNet concepts with topic signatures

TL;DR

This paper proposes a method to enhance WordNet by associating concepts with topic signatures derived from web data or sense-tagged corpora, improving topical linkage and disambiguation.

Contribution

It introduces a novel approach to enrich WordNet with automatically generated topic signatures from the WWW and corpora, and compares their effectiveness.

Findings

Web-derived signatures can be effectively filtered for clarity.

Signatures improve word sense disambiguation performance.

Both methods show promise for ontology enrichment.

Abstract

This paper explores the possibility of enriching the content of existing ontologies. The overall goal is to overcome the lack of topical links among concepts in WordNet. Each concept is to be associated to a topic signature, i.e., a set of related words with associated weights. The signatures can be automatically constructed from the WWW or from sense-tagged corpora. Both approaches are compared and evaluated on a word sense disambiguation task. The results show that it is possible to construct clean signatures from the WWW using some filtering techniques.