| Autor: | Eneko Agirre, German Rigau, Lluís Padró, 19020434 Hồ Mạnh Tân, Jordi Atserias batalla |
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| Rok vydání: | 2000 |
| Předmět: |
Word-sense disambiguation
Computer science business.industry General Social Sciences Applied linguistics computer.software_genre Variety (linguistics) Set (abstract data type) Noun Lexical knowledge Artificial intelligence Computational linguistics Heuristics business computer Natural language processing |
| Zdroj: | Computers and the Humanities. 34:103-108 |
| ISSN: | 0010-4817 |
| DOI: | 10.1023/a:1002486301447 |
| Popis: | This work combines a set of available techniques – whichcould be further extended – to perform noun sense disambiguation. We use several unsupervised techniques (Rigau et al., 1997) that draw knowledge from a variety of sources. In addition, we also apply a supervised technique in order to show that supervised and unsupervised methods can be combined to obtain better results. This paper tries to prove that using an appropriate method to combine those heuristics we can disambiguate words in free running text with reasonable precision. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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