This paper addresses the problem of classifying Chinese unknown words into fine-grained semantic categories defined in a Chinese thesaurus. We describe three novel knowledge-based...
This paper describes a classifier that assigns semantic thesaurus categories to unknown Chinese words (words not already in the CiLin thesaurus and the Chinese Electronic Dictiona...
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
In this paper, we propose the Semantic Information Model for Digital Libraries - DLOnto based on the theory of the Semantic Web, and give the formalized definition of and relative ...
Ming Zhang, Zhi-Hong Deng, Shukai Ding, Dongqing Y...