Name
Abstract | ||
|---|---|---|
Every day we search new information in the web, and we found a lot of documents which contain pages with a great amount of information. There is a big demand for automatic summarization in a rapid and precise way. Many methods have been used in automatic extraction but most of them do not take into account the hierarchical structure of the documents. A novel method using the structure of the document was introduced by Yang and Wang in 2004. It is based in a fractal view method for controlling the information displayed. We explain its drawbacks and we solve them using the new concept of fractal dimension of a text document to achieve a better diversification of the extracted sentences improving the performance of the method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-88710-2_26 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
Fractal summarization,fractal dimension,summarization | Automatic summarization,Data mining,Fractal dimension,Computer science,Fractal,Diversification (marketing strategy),Text document | Conference |
Volume | ISSN | Citations |
12 | 1865-1348 | 0 |
PageRank | References | Authors |
0.34 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Dolores Ruiz | 1 | 114 | 12.49 |
| Antonio B. Bailón | 2 | 3 | 4.01 |