TY  - GEN
AU  - Villa Monte,Augusto
AU  - Lanzarini,Laura Cristina
AU  - Rojas Flores,Luis
AU  - Olivas Varela,José Angel
TI  - Document summarization using a scoring-based representation
KW  - MINERÍA DE DATOS
N1  - Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca); Latin American Computing Conference (CLEI) (42ta : 2016 : Valparaiso, Chile) 
N2  - Currently, data repositories contain a plethora of information in different formats, most of which consists of text. This situation has raised interest in the study of techniques to automate the identification of the most relevant sentences of a document with the goal of generating a text summary. This article presents a technique for extracting the most representative sentences in a document, employing a user-defined criteria. The criteria is learned by the system using an optimization technique and a training document where the user has ranked the sentences according to their relevance. The proposed method has been applied to a five-chapter thesis with good results. At the end of this paper we provide some conclusions as well as ideas for future work
UR  - http://dx.doi.org/10.1109/CLEI.2016.7833396
ER  -