Name
Abstract | ||
|---|---|---|
This research establishes a document summarisation model to generate summaries on the basis of reader requirements. To establish this summarisation model, the document summarisation problem is transformed into a mathematical problem by the analysis of the quality factors for summary and calculation of summary quality indices and constraints of quality factors. The genetic algorithm can be applied to solve the optimisation problem for text summarisation, and the text summary can be generated based on the optimal solution derived via the genetic algorithm. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1080/0952813X.2014.954275 | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
automatic text summarisation,customised summarisation,genetic algorithm | Information retrieval,Conceptual model,Computer science,Natural language processing,Artificial intelligence,Genetic algorithm,Mathematical problem | Journal |
Volume | Issue | ISSN |
27.0 | 3 | 0952-813X |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiang-Liang Hou | 1 | 137 | 18.41 |
| Yong-Jhih Chen | 2 | 0 | 0.34 |