A BERT Baseline for the Natural Questions

01/24/2019

∙

by   Chris Alberti, et al.

∙

0

∙

share

This technical note describes a new baseline for the Natural Questions. Our model is based on BERT and reduces the gap between the model F1 scores reported in the original dataset paper and the human upper bound by 30 for the long and short answer tasks respectively. This baseline has been submitted to the official NQ leaderboard at ai.google.com/research/NaturalQuestions and we plan to opensource the code for it in the near future.