269 citations · 646 across the 18 of their papers we have counts for
3 papers · 1 filter
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins +1
To advance models of multimodal context, we introduce a simple yet powerful neural architecture for data that combines vision and natural language. The "Bounding Boxes in Text Tran…
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti, Daniel Andor, Emily Pitler +2
We introduce a novel method of generating synthetic question answering corpora by combining models of question generation and answer extraction, and by filtering the results to ens…
A BERT Baseline for the Natural Questions
Chris Alberti, Kenton Lee, Michael Collins
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…