@conference {13491,
	title = {Adaptive Transformation-based Learning for Improving Dictionary Tagging},
	booktitle = {Proceedings of the 11th Conference on European Chapter of the Association for Computational Linguistics},
	year = {2006},
	month = {2006/04//},
	pages = {257 - 264},
	address = {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.},
	author = {Karagol-Ayan,Burcu and Doermann, David and Weinberg, Amy}
}
