Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Syntactic and semantic disambiguation of numeral strings using an n-gram method
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Heuristic and rule-based knowledge acquisition: classification of numeral strings in text
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Comparison of numeral strings interpretation: rule-based and feature-based n-gram methods
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
| Hi-index | 0.00 |
The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.