Abstract
The Semantic Knowledge-base of Modern Chinese (SKMC) is a large-scale bilingual semantic resource. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese language engineering. The descriptions of semantic attributes are fairly thorough and comprehensive. The main work in this paper is to introduce the outline of SKMC, and establish a multi-level Word Sense Disambiguation (WSD) model based on it. The results indicate that the SKMC is effective for word sense disambiguation in Chinese and are likely to be important for general Chinese Natural Language Processing (NLP).
| Keywords: | Semantic Knowledge-base; WSD; Lexical semantics; NLP; Chinese |
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