Research Article
A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association
Table 2
The performance of disambiguating through TSA versus other state-of-the art algorithms.
| | Algo. | Nouns only | Verbs only | All words | | | | | | | | | |
| | TSA | 82.5 | 68.9 | 75.1 | 69.3 | 57.7 | 63.0 | 76.8 | 60.2 | 67.4 | | ExtLesk | 80.5 | 62.1 | 70.1 | 60.7 | 47.9 | 53.5 | 71.5 | 50.9 | 59.5 | | SSI | 81.6 | 65.2 | 72.5 | 63.5 | 54.6 | 58.7 | 74.0 | 58.7 | 65.5 | | MFS | 74.7 | 74.7 | 74.7 | 59.1 | 59.1 | 59.1 | 68.4 | 68.4 | 68.4 |
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