Simple and Effective Multi-Paragraph Reading Comprehension

ACL 2018 Christopher ClarkMatt Gardner

We consider the problem of adapting neural paragraph-level question answering models to the case where entire documents are given as input. Our proposed solution trains models to produce well calibrated confidence scores for their results on individual paragraphs... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Question Answering SQuAD1.1 BiDAF + Self Attention (single model) EM 72.139 # 120
F1 81.048 # 119
Question Answering TriviaQA S-Norm EM 66.37 # 2
F1 71.32 # 4

Methods used in the Paper


METHOD TYPE
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