XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages

• Main Authors: Sagare, Shivprasad, Abhishek, Tushar, Singh, Bhavyajeet, Sharma, Anubhav, Gupta, Manish, Varma, Vasudeva
• Format: Journal Article
• Language: English
• Published: 22.09.2022
• Subjects: Computer Science - Computation and Language

Multiple business scenarios require an automated generation of descriptive human-readable text from structured input data. Hence, fact-to-text generation systems have been developed for various downstream tasks like generating soccer reports, weather and financial reports, medical reports, person bi...