A Review on Abstractive Text Summarization Using Deep Learning
Abdul Ghafoor Etemad, Ali Imam Abidi, Megha Chhabra · 2021
The task of creating a summary from a somewhat longer text is known as text summarization. This summary is comprised of a few sentences and would still express the main idea of the text. It has applications in sentiment analysis, document summarization, search engine queries, and business analysis etc. Over time, a lot of research has happened on the topic of abstract text summarization, especially with the emergence of deep learning. Many new Recurrent Neural Network and Convolutional Neural Network models have been proposed by the researchers. The performance of the models based on the Recurrent Neural Network and Convolutional Neural Network has been satisfactory. Models based on the pre-trained Transformer have recently demonstrated state-of-the-art performance in the field of Natural Language Processing in recent research. The amount of work done in the field is quite extensive and challenging to be brought together, this review attempts to do the same.