Adaptive Transformation-based Learning for Improving Dictionary Tagging
| Title | Adaptive Transformation-based Learning for Improving Dictionary Tagging |
| Publication Type | Conference Papers |
| Year of Publication | 2006 |
| Authors | Karagol-Ayan B, Doermann D, Weinberg A |
| Conference Name | Proceedings of the 11th Conference on European Chapter of the Association for Computational Linguistics |
| Date Published | 2006/04// |
| Conference Location | Trento, Italy |
| Abstract | We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, parts of speech, translations, etc.) using an extremely small amount of user provided training data. We use transformation-based learning (TBL) as a postprocessor at two points in the system to improve performance. The results show that the tagging accuracy is increased from 83% and 91% to 93% and 94% for individual words or tokens , and from 64% and 83% to 90% and 93% for contiguous phrases such as definitions or examples of usage. |