Cmap
CHINESE CONCEPT MAP GENERATION BASED ON OPEN INFORMATION EXTRACTION

Lung-Hao, Lee and Yuen-Hsien, Tseng CHINESE CONCEPT MAP GENERATION BASED ON OPEN INFORMATION EXTRACTION.

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Abstract

Creating a concept map automatically from Chinese texts is challenging, because 1) Chinese words require no delimiters in between (like those spaces in English), which makes word, phrase, or concept identification difficult; 2) Chinese is discourse-oriented, meaning there is no strict grammar imposed on a sentence, which makes relation extraction difficult. For example, the three Chinese sentences “ ����” (‘Apple nutritious’), “ �����” (‘Apple are nutritious’) and “ ����” (‘Apple are rich in nutrition’) are semantically synonymous sentences, but the first one, which lacks an overt verb, is used more often than the other two in real-world situations.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Claudia Martínez
Date Deposited: 12 Oct 2018 09:00
Last Modified: 12 Oct 2018 09:00
URI: http://eprint.ihmc.us/id/eprint/511

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