Automatic semantic classification for Chinese unknown compound nouns

Authors:
Keh-Jiann Chen;Chao-jan Chen
Affiliations:
Institute of Information Science, Academia Sinica, Taipei;Institute of Information Science, Academia Sinica, Taipei
Venue:
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Year:
2000

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Abstract

The paper describes a similarity-based model to present the morphological rules for Chinese compound nouns. This representation model serves functions of 1) as the morphological rules of the compounds, 2) as a mean to evaluate the properness of a compound construction, and 3) as a mean to disambiguate the semantic ambiguity of the morphological head of a compound noun. An automatic semantic classification system for Chinese unknown compounds is thus implemented based on the model. Experiments and error analyses are also presented.