Abstract
This paper puts forward a new summarizing method based on concept counting and hierarchy analysis. By concept extraction and semantic analysis we developed an effective English Text Summarizing system. This system uses topic concepts to construct Vector Space Model and partition semantic paragraphs. And combined with readability improvement, the abstract of a text is generated. This paper proposes the parameters to select topic concepts, and describes the detailed algorithm of concept hierarchy tree building, concept counting and its application in summarizing. The experiment result shows that compared to word counting, this new method has preferably improved the performance of the system, and it helps to solve the abstract distribution problem of multi-topic texts.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 268-273 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | 2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia Duration: Oct 6 2002 → Oct 9 2002 |
Keywords
- Concept Counting
- Sentence Significance
- Topic Concept
- Vector Space Model
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture