Paper: Abstract Generation Based On Rhetorical Structure Extraction

ACL ID C94-1056
Title Abstract Generation Based On Rhetorical Structure Extraction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

GENERATION BASED ON RHETORICAL STRUCTURE EXTRACTION Kenjl Ono, Kazuo Sumlta, Seijl Miike Research and Development Center Toshiba Corporation Komukai-Toshiba-cho 1, Saiwai-ku, Kawmsaki, 210, Japan ono@isl.rdc.toshiba.co.jp 1 ABSTRACT We have developed an automatic abstr~mt genera- tion system for Japanese expository writings based on rhetorical structure extraction. The system first extracts the rhetorical structure, the compound of the rhetorical relations between sentences, and then cuts out less important parts in the extracted struc- ture to generate an abstract of the desired length. Evaluation of the generated abstract showed that it contains at maximum 74% of the most important sentences of the original text. The system is now utilized as a text browser for a prototypicaI interac- ti...