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 practice, it needs to adapt to different domains that