Measuring Topic Homogeneity and its Application to Dictionary-based Word Sense Disambiguation

The use of topical features is abundant in Natural Language Processing (NLP), a major example being in dictionary-based Word Sense Disambiguation (WSD). Topic features rely on the context of a target word, but although the role of context has been discussed as an 'open problem' in the WSD literature, the nature of context, and how it might vary between different styles of documents has been largely ignored.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Measuring Topic Homogeneity and its Application to Dictionary-based Word Sense Disambiguation

The use of topical features is abundant in Natural Language Processing (NLP), a major example being in dictionary-based Word Sense Disambiguation (WSD). Topic features rely on the context of a target word, but although the role of context has been discussed as an 'open problem' in the WSD literature, the nature of context, and how it might vary between different styles of documents has been largely ignored.EThOS - Electronic Theses Online ServiceGBUnited Kingdo