Academic Paper |
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| 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. |
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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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