Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Editors | C. Zhang, H.W. Guesgen, W.K. Yeap |
| Pages | 882-891 |
| Number of pages | 10 |
| Volume | 3157 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence - Auckland, New Zealand Duration: 2004 Aug 9 → 2004 Aug 13 |
Other
| Other | 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence |
|---|---|
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 04/8/9 → 04/8/13 |
ASJC Scopus subject areas
- Hardware and Architecture