Text Summary Generation Techniques

Swapnesh, Yashasvi; Parikh, Kumar; Darshakbhai, Narsingani; Gaudani, Hetal; Patel, Gaurav; Madhuri, J; Kumar, Ganesh; Devasena, C Lakshmi; Hemalatha, M; Reategui, Eliseo; Klemann, Miriam; David, Mateus; Finco; Chen, Jingquiang; Haizhuge; Kupiec, Julian; Pedersen, Jan; Chen, Francine; Brotsky, Daniel; Aloisio-Montilla, Steven Putz ;; Swanson, Bart; Goldstein; Abu, Amjad; -Jbara; Dragomirradev; Edmundson, Harold P; Kessler; Abuobieda, A; Salim, N; Albaham, A; Osman, A; Kumar, Y; Erkan, G; Radev, Dragomir; Hahn, Udo; Romacker, Martin; Balahur, Alexandra; Lloret, Elena; Boldrini, Ester; Montoyo, Andrs; Palomar, Manuel; &martnez-Barco, Patricio; Gong, Y; Liu, X; Ai, D; Zheng, Y; Zhang, D; Deerwester, S; Dumais, S; Furnas, G

doi:10.35940/ijitee.g1016.0597s20

Public

Text Summary Generation Techniques

Published in International Journal of Innovative Technology and Exploring Engineering • May 22, 2020

NobleIDNI2P62W68R51S26

Authors:

Yashasvi Swapnesh

,

Kumar Parikh

,

Narsingani Darshakbhai

Abstract

Pattern Recognition is pertinent field in autonomous text summarization for extraction of features from relative and non relative text documents. Here we provide empirical evidence that the method of Deep learning using RNN outperforms various techniques in terms of speed as well as metrics in abstr...

Subject

Automatic summarization

Computer science

Artificial intelligence

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