Title of article :
Rhetorics-based multi-document summarization
Author/Authors :
Atkinson، نويسنده , , John J. Munoz، نويسنده , , Ricardo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
In this paper, a new multi-document summarization framework which combines rhetorical roles and corpus-based semantic analysis is proposed. The approach is able to capture the semantic and rhetorical relationships between sentences so as to combine them to produce coherent summaries. Experiments were conducted on datasets extracted from web-based news using standard evaluation methods. Results show the promise of our proposed model as compared to state-of-the-art approaches.
Keywords :
semantic analysis , Discourse Models , Rhetorical roles , Statistical language models , Multi-document summarization , Machine Learning
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications