Coherent arrangement of sentences extracted from multiple newspaper articles

Naoaki Okazaki*, Yutaka Matsuo, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make use of extraction techniques (e.g., important sentence extraction) and compile a summary from the selected information. However, sentences gathered from multiple sources are not organized as a comprehensible text. Therefore, it is important to consider sentence ordering of extracted sentences in order to reconstruct discourse structure in a summary. We propose a novel method to plan a coherent arrangement of sentences extracted from multiple newspaper articles. Results of our experiment show that sentence reordering has a discernible effect on summary readability. The results also shows significant improvement on sentence arrangement compared to former methods.

本文言語English
ホスト出版物のタイトルLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
編集者C. Zhang, H.W. Guesgen, W.K. Yeap
ページ882-891
ページ数10
3157
出版ステータスPublished - 2004
外部発表はい
イベント8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence - Auckland, New Zealand
継続期間: 2004 8月 92004 8月 13

Other

Other8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence
国/地域New Zealand
CityAuckland
Period04/8/904/8/13

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ

フィンガープリント

「Coherent arrangement of sentences extracted from multiple newspaper articles」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル