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Academic Paper


Title: A topological embedding of the lexicon for semantic distance computation
Author: N. Davis
Institution: Brigham Young University
Author: C. Giraud-Carrier
Institution: Brigham Young University
Author: D. Jensen
Institution: KJ Nova
Linguistic Field: Applied Linguistics; Computational Linguistics; Semantics
Abstract: We show how a quantitative context may be established for what is essentially qualitative in nature by topologically embedding a lexicon (here, WordNet) in a complete metric space. This novel transformation establishes a natural connection between the order relation in the lexicon (e.g., hyponymy) and the notion of distance in the metric space, giving rise to effective word-level and document-level lexical semantic distance measures. We provide a formal account of the topological transformation and demonstrate the value of our metrics on several experiments involving information retrieval and document clustering tasks.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 16, Issue 3, which you can READ on Cambridge's site or on LINGUIST .



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