Knowledge Representation of Entity Attribute Frame for Natural Language Understanding

Hong-lin WU, Ruo-yi ZHOU, Ke WANG

Abstract


The key problem in the construction of the semantic knowledge base for natural language understanding lies in the connection between knowledge, language and computation. It’s hardly to get an organized knowledge base without considering the existence modality of knowledge in language and how the knowledge used for the computer. This paper discussed the function and abstract form of semantic knowledge in language comprehension by analyzing the relationship between language and knowledge, and defined the unit and the association of in the way of human understanding of the world. This paper proposed a semantic knowledge representation system which is separated from language and knowledge organization form. This system would enhance many applications in the field of computer natural language understanding.

Keywords


Knowledge representation, Entity attribute, Natural language processing


DOI
10.12783/dtcse/ameit2017/12296

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