Automatic Text Summarization for Dialogue Style
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.
Automatic text summarization Dialogue style Text segmentation Coherency Question-answer pairs
Chuanhan Liu Yongcheng Wang Fei Zheng
Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai, China Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines, CAS Hefei, Anh
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
274-278
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）