Discussion | The results of the previous section show that the improvements in parsing results are small but significant, for all three word sense disambiguation strategies (gold-standard, 1ST and ASR). |
Integrating Semantics into Parsing | This problem of identifying the correct sense of a word in context is known as word sense disambiguation (WSD: Agirre and Edmonds (2006)). |
Introduction | use of the most frequent sense, and an unsupervised word sense disambiguation (WSD) system. |
Abstract | Our NR classification evaluation strictly follows the ACL SemEval-07 Task 4 datasets and protocol, obtaining an f-score of 70.6, as opposed to 64.8 of the best previous work that did not use the manually provided WordNet sense disambiguation tags. |
Conclusion | In practical situations, it would not be feasible to provide a large amount of such sense disambiguation tags manually. |
Introduction | Furthermore, usage of such resources frequently requires disambiguation and connection of the data to the resource (word sense disambiguation in the case of WordNet). |