Download This PaperAbstractive Text Summarization Using Artificial Intelligence
6 Pages Posted: 23 Apr 2019
Date Written: April 8, 2019
Abstract
Text summarization is the process of creating concise summary of text. There are two main approaches to summarization namely extractive and abstractive method. Most of the system summaries use extractive method. Amongst few abstractive models available there are two models namely sequence to sequence and LSTM bidirectional model. In this work,we compare the performance of above two models using ROUGE and BLEU score on Amazon reviews and CNN news dataset.
Keywords: Text Summarization, Natural language processing, Recurrent Neural Network
Suggested Citation: Suggested Citation
Parmar, Chandu and Chaubey, Ranjan and Bhatt, Kirtan and Lokare, Reena, Abstractive Text Summarization Using Artificial Intelligence (April 8, 2019). 2nd International Conference on Advances in Science & Technology (ICAST) 2019 on 8th, 9th April 2019 by K J Somaiya Institute of Engineering & Information Technology, Mumbai, India, Available at SSRN: https://ssrn.com/abstract=3370795 or http://dx.doi.org/10.2139/ssrn.3370795
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