Paper: Bunsetsu Identification Using Category-Exclusive Rules

ACL ID C00-1082
Title Bunsetsu Identification Using Category-Exclusive Rules
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

This pal>or describes two new bunsetsu identificatkm methods using supervised learning. Sin(:e,Jat)anese syntactic analysis ix usnally done after bunsetsu identification, lmnsetsu identiiieation is iml)orl;ant for analyzing Japanese sentences. In experiments comparing the four previously available machine- learning methods (decision tree, maximmn-entropy method, example-based apI)roaeh and deeiskm list,) an(l two new methods llSing categot'y-exclusive rules~ the new method using l;he category-exclusive rules with the highest similarity t)erformetl best.