A Systematic Literature Review on Text Generation Using Deep Neural Network Models
In recent years, significant progress has been made in text generation. The latest text generation models are revolutionizing the domain by generating human-like text. It has gained wide popularity recently in many domains like news, social networks, movie scriptwriting, and poetry composition, to n...
Main Authors: | Noureen Fatima, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Abdullah Soomro |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9771452/ |
Similar Items
-
Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
by: Sarang Shaikh, et al.
Published: (2021-01-01) -
The impact of synthetic text generation for sentiment analysis using GAN based models
by: Ali Shariq Imran, et al.
Published: (2022-09-01) -
Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique
by: Ashish Rawat, et al.
Published: (2022-10-01) -
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing
by: Abdul Ghafoor, et al.
Published: (2021-01-01) -
Verification Of Alshavahynee Diwan تحقيق ديوان الشفهيني
by: Mahdey Abd Alameer Moftan مهدي عبد الامير مفتن
Published: (2011-06-01)