Generating Factual Text via Entailment Recognition Task

Generating diverse and factual text is challenging and is receiving increasing attention. By sampling from the latent space, variational autoencoder-based models have recently enhanced the diversity of generated text. However, existing research predominantly depends on summarization models to offer...

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Bibliographic Details

Published in:	Computers, materials & continua Vol. 80; no. 1; pp. 547 - 565
Main Authors:	Dai, Jinqiao, Cheng, Pengsen, Liu, Jiayong
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2024
Subjects:	Discriminators Natural language Natural language processing Recognition Semantics Sentences
ISSN:	1546-2226, 1546-2218, 1546-2226
Online Access:	Get full text
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