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https://scholarbank.nus.edu.sg/handle/10635/41984
DC Field | Value | |
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dc.title | Word sense disambiguation for all words without hard labor | |
dc.contributor.author | Zhong, Z. | |
dc.contributor.author | Ng, H.T. | |
dc.date.accessioned | 2013-07-04T08:40:31Z | |
dc.date.available | 2013-07-04T08:40:31Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Zhong, Z.,Ng, H.T. (2009). Word sense disambiguation for all words without hard labor. IJCAI International Joint Conference on Artificial Intelligence : 1616-1621. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 9781577354260 | |
dc.identifier.issn | 10450823 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41984 | |
dc.description.abstract | While the most accurate word sense disambiguation systems are built using supervised learning from sense-tagged data, scaling them up to all words of a language has proved elusive, since preparing a sense-tagged corpus for all words of a language is time-consuming and human labor intensive. In this paper, we propose and implement a completely automatic approach to scale up word sense disambiguation to all words of English. Our approach relies on English-Chinese parallel corpora, English-Chinese bilingual dictionaries, and automatic methods of finding synonyms of Chinese words. No additional human sense annotations or word translations are needed. We conducted a large-scale empirical evaluation on more than 29,000 noun tokens in English texts annotated in OntoNotes 2.0, based on its coarse-grained sense inventory. The evaluation results show that our approach is able to achieve high accuracy, outperforming the first-sense baseline and coming close to a prior reported approach that requires manual human efforts to provide Chinese translations of English senses. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | IJCAI International Joint Conference on Artificial Intelligence | |
dc.description.page | 1616-1621 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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