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Study of Automatic Text Summarization Based on Natural Language Understanding

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2 Author(s)
Chenghcheng Li ; Coll. of Comput. Sci., Inner Mongolia Normal Univ., Huhhot ; Siriguleng Wang

In this paper, we present an automatic text summarization method based on natural language understanding by using RST (Rhetorical Structure Theory) and CIT (Comprehensive Information Theory). RST is an analytic framework designed to account for text structure at the clause level. CIT is an integrated concept of syntactic, semantic and pragmatic information. The system extracts the rhetorical structure of text and the compound of the rhetorical relations between sentences, and then cuts out less important parts from the extracted structure. Finally it analyses the sentences in the extracted structure to generate text summarization by using CIT.

Published in:

Industrial Informatics, 2006 IEEE International Conference on

Date of Conference:

16-18 Aug. 2006