Abstract
Automatically acquired lexicons with subcategorization information have already proved accurate and useful enough for some purposes but their accuracy still shows room for improvement. By means of diathesis alternation, this paper proposes a new filtering method, which improved the performance of Korhonen's acquisition system remarkably, with the precision increased to 91.18% and recall unchanged, making the acquired lexicon much more practical for further manual proofreading and other NLP uses.
| Original language | English |
|---|---|
| Pages | 331-336 |
| Number of pages | 6 |
| State | Published - 2006 |
| Externally published | Yes |
| Event | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, Australia Duration: 17 Jul 2006 → 18 Jul 2006 |
Conference
| Conference | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 17/07/06 → 18/07/06 |
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