Paper:
Language: English:

Generation System of Attractive Summary of Story

Shunsuke Nakano and Takehisa Onisawa

Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba city, Ibaraki 305-8573, Japan

Received: May 1, 2007

Accepted: August 30, 2007

Keywords: text summarization, appearance frequency, attractive summary, story

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.12, No.1 pp. 41-47, 2008

Abstract

This paper proposes a method to generate an attractive summary from a story and describes an attractive summary generation system based on the method. The system consists of two sections. The one is the section extracting an important part of a story, i.e., the part of a new turn of a story defined by the appearance frequency of new words in a story. The other is the section generating a summary from the extracted important part. This section chooses important sentences and deletes unnecessary phrases from the extracted part. Finally, this paper confirms the validity of the presented approach by subject’s experiments.

Reference

[1] “Aozora Bunko,”
http://www.aozora.gr.jp/
(in Japanese).

[2] “Amazon,”
http://www.amazon.com/

[3] “Questionnaires about Movies,”
http://www.macromill.com/client/r_data/20040801movie/gt.html
(in Japanese).

[4] M. Banko, V. O. Mittal, and M. J. Witbrock, “Headline generation based on statistical translation,” Proc. of the 38th Annual Meeting on Association for Computational Linguistics, pp. 318-325, 2000.

[5] Y. Nakao, “An Algorithm for Text Summarization base on Thematic Hierarchy Detection: How to Generate a One-page Summary of a Long Text,” IPSJ SIG Technical Reports, NL-132, pp. 49-56, 1999 (in Japanese).

[6] S. Wan and M. Dras, “Using Thematic Information in Statistical Headline Generation,” Proc. of the ACL 2003 Workshop on Multilingual Summarization and Question Answering, pp. 11-20, 2003.

[7] E. T. Mueller, “Story Understanding through Multi-representation Model Construction,” Proc. of Human Language Technology Conference / North American Chapter of the Association for Computational Linguistics 2003 Workshop, pp. 46-53, 2003.

[8] H. Arai, “Super ‘Technique for Scenario Writing’ Summary,” Eijinsya “Drama,” 2004 February and March, 2004 (in Japanese).

[9] A. Kawamura, “Device, system and method for providing information,”
US Patent 20020051961,
2002.

[10] “Japanese Dependency Structure Analyzer: CaboCha,”
http://chasen.org/˜taku/software/cabocha/
(in Japanese).

[11] E. M. Forster, “Aspects of the Novel,” Harcourt, 1947.

[12] N. Sagara, W. Sunayama, and M. Yachida, “Story Extraction from Text Using Key Sentence Extraction Method,” IPSJ SIG Technical Reports, NL-164, pp. 159-164, 2004 (in Japanese).

[13] W. Sunayama and M. Yachida, “A System for Making Summary by Extracting Key Sentence Using feature keywords –A Panoramic View System–,” IPSJ SIG Technical Reports, NL-135, pp. 103-110, 2000 (in Japanese).