On Generating Fact-Infused Question Variations

1 code implementation • RANLP 2021 • Arthur Deschamps, Sujatha Das Gollapalli, See-Kiong Ng

We study a double encoder-decoder model, Fact-Infused Question Generator (FIQG), for learning to generate fact-infused questions from a given question.

Question Generation Question-Generation