TY - GEN
T1 - Adaptive transformation-based learning for improving dictionary tagging
AU - Karagol-Ayan, Burcu
AU - Doermann, David
AU - Weinberg, Amy
PY - 2006
Y1 - 2006
N2 - We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, 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 our system to improve performance. The results using two dictionaries show that the tagging accuracy increases 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.
AB - We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, 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 our system to improve performance. The results using two dictionaries show that the tagging accuracy increases 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.
UR - https://www.scopus.com/pages/publications/84893422248
M3 - Conference contribution
AN - SCOPUS:84893422248
SN - 1932432590
SN - 9781932432596
T3 - EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
SP - 257
EP - 264
BT - EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
T2 - 11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006
Y2 - 3 April 2006 through 7 April 2006
ER -