Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning

Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning

Data-to-text generation plays an important role in natural language processing by processing structured data and helping people understand those data by generating user-friendly descriptive text. It can be applied to news generation, financial report generation, customer service, etc. However, in pr...

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Bibliographic Details
Main Authors: Heng Gong, Xiaocheng Feng, Bing Qin
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
data-to-text generation
Natural Language Generation
natural language processing
deep learning
meta learning
Artificial Intelligence
Online Access:https://www.mdpi.com/2076-3417/13/9/5573

Internet

https://www.mdpi.com/2076-3417/13/9/5573

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