Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction

Abstract

To generate a summary automatically, the theory gives three approaches: by classification, by understanding or by extraction which is the most used and easy to implement. The current literature presents three basic techniques in the extraction approach: Extraction by scoring, Extraction by similarity and last but not least extraction by prototype. In previous work, the authors have always used one technique only and after that the proposed many manner to optimize the results: by the optimization algorithm or even they introduces the bio-inspired method to optimize the performance of automatic summarizers like ants or spider socials. Each technique has of weakness and strength point. In fact, the authors proposed in this work to use two technique one after the other to compensate the weakness of each technique by the strength of the second technique. In this paper, the authors will give a short state of art that will allow them later to explain the weakness and strength of each technique, after that they will explain their approach of Hybridization we will done.