Abstract
Automatic Document Summarization is a highly interdisciplinary research area related with computer science as well as cognitive psychology. In this paper, we introduce an intelligent algorithm, the event indexing and summarization (EIS) algorithm, for automatic document summarization, which is based on taking into account a cognitive psycho-logical model, the event-indexing model, and the roles and importance of sentences and their syntax in document understanding. The EIS algorithm involves syntactic analysis of sentences, clustering and indexing sentences with the five indices from die event-indexing model, and extracting the most prominent content by lexical analysis at phrase and clause levels. After thorough implementation and objective evaluations, die algorithm has now shown good performance in multi-document summarization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering, 2003 |
| Editors | Chengqing Zong |
| Publisher | IEEE |
| Pages | 740-745 |
| Number of pages | 6 |
| ISBN (Print) | 0780379020, 9780780379022 |
| DOIs | |
| Publication status | Published - Oct 2003 |
| Event | International Conference on Natural Language Processing and Knowledge Engineering 2003 - Beijing, China Duration: 26 Oct 2003 → 29 Oct 2003 |
Conference
| Conference | International Conference on Natural Language Processing and Knowledge Engineering 2003 |
|---|---|
| Abbreviated title | NLP-KE 2003 |
| Country/Territory | China |
| City | Beijing |
| Period | 26/10/03 → 29/10/03 |
Keywords
- Event-indexing
- Lexical analysis
- Summarization
- Syntax
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Software