Study on Chinese Text Summarization Based on Extracting Sentences from Subtopics

Abstract

In this paper, we propose a new method for Chinese text summarization. First, the document is segmented into several units in terms of the subtopics in the document. Then, the most representative sentences in each subtopic unit are selected as the summary sentences. By analyzing semantic structure of the documents first, the summary sentences are not redundancy and the coverage of each subtopic is balanced. Experimental results show that our approach is effective and efficient, and performance of the system is reliable.