Finding Summary of Text Using Neural Networks and Rhetorical Structure Theory

Sarda A. T., Kulkarni A. R.

Abstract: A new technique for summarization is presented here for summarizing articles known as finding summary of text using neural network and rhetorical structure theory. A neural network is trained to learn the relevant characteristics of sentences by using back propagation technique to train the neural network which will be used in the summary of the article. After training neural network is then modified to feature fusion and pruning the relevant characteristics apparent in summary sentences. Finally, the modified neural network is used to summarize articles and combining it with the rhetorical structure theory to form final summary of an article.

Keywords: backpropagated neural networks, rhetorical structure theory, text summarization, concession

How to Cite?: Sarda A. T., Kulkarni A. R., "Finding Summary of Text Using Neural Networks and Rhetorical Structure Theory", Volume 5 Issue 5, May 2016, International Journal of Science and Research (IJSR), Pages: 2260-22265, https://www.ijsr.net/getabstract.php?paperid=NOV163987, DOI: https://dx.doi.org/10.21275/NOV163987