Semantic Representation and Composition for Unknown Compounds in E-HowNet

摘要

This paper describes a universal concept representational mechanism called E-HowNet, to handle difficulties caused by unknown words in natural language processing. Semantic structures and sense disambiguation of unknown words are discovered by analogy. We intend to achieve that any concept can be defined by E-HowNet and the representation is near-canonical. The design for easy semantic composition and decomposition makes the automation of semantic processing for unknown words, phrases and even sentences possible.