Abstract
Informative summaries are used as substitutions for original texts.It is necessary for those for captions of newscasting, in particular, to keep the original information as much as possible. This paper discusses a summarization method of reducing overlaps to generate informative summaries. Deleting a part of the text which refers to the same content as some other part can reduce redundancy and avoid lack of information. In order to recognize overlaps, we utilize a pair of dependent words. Deletion of overlaps only using a pair of words having a dependency sometimes makes a summary unnatural and difficult to read. Therefore, what should be considered to cope with the problems is described. We compared summaries of TV news texts independently generated by our method and by human for evaluation. The experimental results show that the precision attained 85.1% and the recall attained 81.0%, respectively.
