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A Brief History of Deep Learning-Based Text Generation

Authors: Bas, A., Topal, M.O., Duman, Ç. and Van Heerden, I.

Journal: Proceedings of the International Conference on Computer and Applications, ICCA 2022 - Proceedings

ISBN: 9781665452946

DOI: 10.1109/ICCA56443.2022.10039545

Abstract:

A dynamic domain in Artificial Intelligence research, Natural Language Generation centres on the automatic generation of realistic text. To help navigate this vast and swiftly developing body of work, the study provides a concise overview of noteworthy stages in the history of text generation. To this end, the paper describes deep learning models for a broad audience, focusing on traditional, convolutional, recurrent and generative adversarial networks, as well as transformer architecture.

Source: Scopus