抄録
Although there has been a great deal of research on automatic summarization, most methods rely on statistical methods, disregarding relationships between extracted textual segments. We propose a novel method to extract a set of comprehensible sentences which centers on several key points to ensure sentence connectivity. It features a similarity network from documents with a lexical dictionary, and spreading activation to rank sentences. We show evaluation results of a multi-document summarization system based on the method participating in a competition of summarization, TSC (Text Summarization Challenge) task, organized by the third NTCIR project.
本文言語 | English |
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ページ(範囲) | 1686-1694 |
ページ数 | 9 |
ジャーナル | IEICE Transactions on Information and Systems |
巻 | E86-D |
号 | 9 |
出版ステータス | Published - 2003 9月 |
外部発表 | はい |
ASJC Scopus subject areas
- 情報システム
- コンピュータ グラフィックスおよびコンピュータ支援設計
- ソフトウェア