most citedProbabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.CL2020★ 13 cited

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

Hao Cheng, Ming-Wei Chang, Kenton Lee +1

We address the problem of extractive question answering using document-level distant super-vision, pairing questions and relevant documents with answer strings. We compare previous…