Paper: Automatic Semantic Classification For Chinese Unknown Compound Nouns

ACL ID C00-1026
Title Automatic Semantic Classification For Chinese Unknown Compound Nouns
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Tim paper describes a similarity-based model to present the morphological rules for Chinese com- pound nouns. This representation model serves functions of 1) as the morphological rules of the compounds, 2) as a mean to evaluate the proper- ness of a compound construction, and 3) as a mean to disambiguate the semantic ambiguity of the nlorphological head of a compound noun. An automatic semantic classil'ication system for Chine- se unknown compounds is thus implemented based on the model. Experiments and on'or analyses arc also presented.