The purpose of designing the lexical semantic representation model E-HowNet is for natural language understanding. E-HowNet is a frame-based entity-relation model extended from HowNet to define lexical senses and achieving compositional semantics. The followings are major extension features of E-HowNet to achieve the goal. a) Word senses (concepts) are defined by either primitives or any well-defined concepts and conceptual relations; b) A uniform sense representation model for content words, function words and phrases; c) Semantic relations are explicitly expressed; and d) Near-canonical representations for lexical senses and phrasal senses. We demonstrate the above features and show how coarse-grained semantic composition can be carried out under the framework of E-HowNet. Possible applications of E-HowNet are also suggested. We hope that the ultimate goal of natural language understanding will be accomplished after future improvement and evolution of the current E-HowNet.
['Keh-Jiann Chen', 'Shu-Ling Huang']
A Step toward Compositional Semantics: E-HowNet a Lexical Semantic Representation System