Title
Automatic Generation of News Comments Based on Gated Attention Neural Networks
Abstract
With the development of recurrent neural networks (RNN), various natural language generation (NLG) tasks have boomed in the past few years, such as response generation in conversation and poetry generation. However, automatic generation of news comments is anew, challenging and not well-studied task in NLG. Different from other NLG tasks, this task requires the contextual relevance between comment...
Year
DOI
Venue
2018
10.1109/ACCESS.2017.2774839
IEEE Access
Keywords
Field
DocType
Logic gates,Generators,Recurrent neural networks,Decoding,Computational modeling
Natural language generation,Perplexity,Conversation,Computer science,Recurrent neural network,Natural language processing,Artificial intelligence,Generative grammar,Artificial neural network,Adversarial system,Distributed computing
Journal
Volume
ISSN
Citations 
6
21693536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zheng Hai-Tao114224.39
Wang Wei212.38
Chen Wang383.23
Arun Kumar41427132.32