| Description: | This paper presents a Word Sense Disambiguation method based on the idea of semantic density between words. The disambiguation is done in the context of WordNet. The Internet is used as a raw corpora to provide statistical information for word associations. A metric is introduced and used to measure the semantic density and to rank all possible combinations of the senses of two words. This method provides a precision of 58% in indicating the correct sense for both words at the same time. The precision increases as we consider more choices: 70% for top two ranked and 73% for top three ranked. |
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| Creation Date: | August 1998 |
| Partner(s): |
UNT College of Engineering
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| Collection(s): |
UNT Scholarly Works
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| Usage: |
Total Uses: 35
Past 30 days: 5
Yesterday: 0
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| Creator (Author): |
Mihalcea, Rada
University of North Texas; Southern Methodist University |
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| Creator (Author): |
Moldovan, Dan
Southern Methodist University |
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| Original Creation Date: | August 1998 | |
| Description: | This paper presents a Word Sense Disambiguation method based on the idea of semantic density between words. The disambiguation is done in the context of WordNet. The Internet is used as a raw corpora to provide statistical information for word associations. A metric is introduced and used to measure the semantic density and to rank all possible combinations of the senses of two words. This method provides a precision of 58% in indicating the correct sense for both words at the same time. The precision increases as we consider more choices: 70% for top two ranked and 73% for top three ranked. |
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| Degree: |
Department:
Computer Science and Engineering
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| Physical Description: |
7 p. |
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| Keyword(s): | word sense disambiguation | natural language processing | WordNet | |
| Source: | Thirty-Sixth Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics ( COLING-ACL) Workshop, 1998, Montreal, Quebec, Canada | |
| Contributor(s): |
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| Partner: |
UNT College of Engineering
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| Collection: |
UNT Scholarly Works
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| Resource Type: | Paper | |
| Format: | Text | |
| Rights: |
Access:
Public
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