Reading Wikipedia to Answer Open-Domain Questions

Danqi ChenAdam FischJason WestonAntoine Bordes

   Papers with code   Abstract  PDF

This paper proposes to tackle open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article. This task of machine reading at scale combines the challenges of document retrieval (finding the relevant articles) with that of machine comprehension of text (identifying the answer spans from those articles)... (read more)

Benchmarked Models

No benchmarked models yet. Click here to submit a model.