Papers with majority-baseline

1 papers
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions (N19-1)

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Challenge: In this paper we build a reading comprehension dataset of yes/no questions that are naturally occurring . they often query for complex, non-factoid information, and require difficult entailment-like inference to solve.
Approach: They build a reading comprehension dataset of yes/no questions that are naturally occurring . they find they are unexpectedly challenging and require difficult inferences to solve .
Outcome: The proposed method achieves 80.4% accuracy compared to 90% accuracy of human annotators and 62% majority-baseline.

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