NDLI: Automatic Text Summarization for Dialogue Style

Content Provider	IEEE Xplore Digital Library
Author	Chuanhan Liu Yongcheng Wang Fei Zheng
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ. (Chuanhan Liu; Yongcheng Wang)
Abstract	Automatic text summarization for dialogue style is a relatively new research area. Some key techniques are proposed in this paper, such as identifying whether or not the style of document is dialogue, identifying all of questions and their corresponding answers and linking them to form question-answer pairs. Due to the interactive nature of dialogue documents, local regions of coherence often stretch across different speakers. An approach to automatically identify those regions of local coherence is presented. Firstly, we identify all question paragraphs in a given document. Secondly, we detect the answer paragraphs of each question paragraph and exploit text segmentation to form question-answer pairs. Lastly, we extract some sentences from the generic content and the question-answer pairs to generate a complete summary. Experimental results show that our approach is high efficient and improves significantly the coherency of the summary while not compromising informativeness
Starting Page	274
Ending Page	278
File Size	2493263
Page Count	5
File Format	PDF
ISBN	1424405289
DOI	10.1109/ICIA.2006.306009
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Logic programming Natural languages Information retrieval Question-answer pairs Text segmentation Coherency Data mining Machine intelligence Computer science Dialogue style Content addressable storage Biomimetics Automatic text summarization Internet Joining processes
Content Type	Text
Resource Type	Article

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