Name
Title | ||
|---|---|---|
A new hybrid summarizer based on vector space model, statistical physics and linguistics |
Abstract | ||
|---|---|---|
In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76631-5_83 | MICAI |
Keywords | Field | DocType |
hybrid system,new hybrid summarizer,good summary,medical article,hybrid approach,vector space model,statistical technique,spanish medical text,automatic summarization,disicosum system,statistical physic,good result,statistical physics | Statistical physics,Automatic summarization,Computer science,Extractor,Natural language processing,Artificial intelligence,Vector space model,Linguistics,Hybrid system,Machine learning | Conference |
Volume | ISSN | ISBN |
4827 | 0302-9743 | 3-540-76630-8 |
Citations | PageRank | References |
14 | 0.76 | 16 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iria da Cunha | 1 | 145 | 16.51 |
| Silvia Fernández | 2 | 32 | 3.33 |
| Patricia Velázquez Morales | 3 | 14 | 0.76 |
| Jorge Vivaldi | 4 | 77 | 15.17 |
| Eric SanJuan | 5 | 48 | 7.07 |
| Juan-Manuel Torres-Moreno | 6 | 359 | 51.36 |