A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association
Word sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context. Although WSD has been researched over the years, the performance of existing algorithms in terms of accuracy a...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/586327 |
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| _version_ | 1832565138960416768 |
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| author | Xin Wang Wanli Zuo Ying Wang |
| author_facet | Xin Wang Wanli Zuo Ying Wang |
| author_sort | Xin Wang |
| collection | DOAJ |
| description | Word sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context. Although WSD has been researched over the years, the performance of existing algorithms in terms of accuracy and recall is still unsatisfactory. In this paper, we propose a novel approach to word sense disambiguation based on topical and semantic association. For a given document, supposing that its topic category is accurately discriminated, the correct sense of the ambiguous term is identified through the corresponding topic and semantic contexts. We firstly extract topic discriminative terms from document and construct topical graph based on topic span intervals to implement topic identification. We then exploit syntactic features, topic span features, and semantic features to disambiguate nouns and verbs in the context of ambiguous word. Finally, we conduct experiments on the standard data set SemCor to evaluate the performance of the proposed method, and the results indicate that our approach achieves relatively better performance than existing approaches. |
| format | Article |
| id | doaj-art-f94dbc9a333f49c686527196b8d21ad1 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f94dbc9a333f49c686527196b8d21ad12025-02-03T01:09:28ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/586327586327A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic AssociationXin Wang0Wanli Zuo1Ying Wang2College of Computer Science and Technology, Jilin University, Changchun 130012, ChinaCollege of Computer Science and Technology, Jilin University, Changchun 130012, ChinaCollege of Computer Science and Technology, Jilin University, Changchun 130012, ChinaWord sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context. Although WSD has been researched over the years, the performance of existing algorithms in terms of accuracy and recall is still unsatisfactory. In this paper, we propose a novel approach to word sense disambiguation based on topical and semantic association. For a given document, supposing that its topic category is accurately discriminated, the correct sense of the ambiguous term is identified through the corresponding topic and semantic contexts. We firstly extract topic discriminative terms from document and construct topical graph based on topic span intervals to implement topic identification. We then exploit syntactic features, topic span features, and semantic features to disambiguate nouns and verbs in the context of ambiguous word. Finally, we conduct experiments on the standard data set SemCor to evaluate the performance of the proposed method, and the results indicate that our approach achieves relatively better performance than existing approaches.http://dx.doi.org/10.1155/2013/586327 |
| spellingShingle | Xin Wang Wanli Zuo Ying Wang A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association The Scientific World Journal |
| title | A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association |
| title_full | A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association |
| title_fullStr | A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association |
| title_full_unstemmed | A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association |
| title_short | A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association |
| title_sort | novel approach to word sense disambiguation based on topical and semantic association |
| url | http://dx.doi.org/10.1155/2013/586327 |
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