کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384680 660853 2013 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiple documents summarization based on evolutionary optimization algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Multiple documents summarization based on evolutionary optimization algorithm
چکیده انگلیسی

This paper proposes an optimization-based model for generic document summarization. The model generates a summary by extracting salient sentences from documents. This approach uses the sentence-to-document collection, the summary-to-document collection and the sentence-to-sentence relations to select salient sentences from given document collection and reduce redundancy in the summary. To solve the optimization problem has been created an improved differential evolution algorithm. The algorithm can adjust crossover rate adaptively according to the fitness of individuals. We implemented the proposed model on multi-document summarization task. Experiments have been performed on DUC2002 and DUC2004 data sets. The experimental results provide strong evidence that the proposed optimization-based approach is a viable method for document summarization.


► The paper presents a generic document summarization as an optimization problem.
► We create a self-adaptive differential evolution algorithm to solve the optimization problem.
► This approach can cover the main content of the given documents and reduce redundancy in the summary.
► Experimental results show that the proposed method improves the summary performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 5, April 2013, Pages 1675–1689
نویسندگان
, , ,