Deep learning approach for text summarization / Owis Kweder ; Nermin Kassis ; Nour Alhouda Aboukoura ; Hala Al Homsi ; Mamdouh Al Serawan
Publication year: 2020
: CCE00009
Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.
: Computer Sceince, Automatic summarization, Artificial neural networks, Machine learning, Text summarization, Neural networks, Deep learning, Keras, Tensorflow, Encoder Decoder
