Knowledge Representation and Sense Disambiguation for Interrogatives in E-HowNet

Shu-Ling Huang ； Keh-Jiann Chen

《中文計算語言學期刊》 13卷3期 (2008/09) Pp. 255-277

https://doi.org/10.30019/IJCLCLP.200809.0001

並列摘要

In order to train machines to ‘understand’ natural language, we propose a meaning representation mechanism called E-HowNet to encode lexical senses. In this paper, we take interrogatives as examples to demonstrate the mechanisms of semantic representation and composition of interrogative constructions under the framework of E-HowNet. We classify the interrogative words into five classes according to their query types, and represent each type of interrogatives with fine-grained features and operators. The process of semantic composition and the difficulties of representation, such as word sense disambiguation, are addressed. Finally, machine understanding is tested by showing how machines derive the same deep semantic structure for synonymous sentences with different surface structures.

並列關鍵字

Semantic Representation ； Sense Disambiguation ； Interrogatives ； E-HowNet

參考文獻

Chen, K. J.,S. L. Huang,Y. Y. Shih,Y. J. Chen(2004).Extended-HowNet: multi-level concept definition and complex relation description.Peking University.

Chen, K. J.,S. L. Huang,Y. Y. Shih,Y. J. Chen(2005).Extended-HowNet-A Representational Framework for Concepts.Proceedings of IJCNLP-05 Workshop on Lexical Semantic.(Proceedings of IJCNLP-05 Workshop on Lexical Semantic).:

Sinica Treebank, version 3.0

Chung, Y. S.,S. L. Huang,K. J. Chen(2007).Modality and Modal Sense Representation in E-HowNet.In the Proceeding of the 21st Pacific Asia Conference on Language, Information and Computation (PACLIC).(In the Proceeding of the 21st Pacific Asia Conference on Language, Information and Computation (PACLIC)).

HowNet