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Machine Reading Comprehension

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.

Source: Making Neural Machine Reading Comprehension Faster

Papers

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TitleStatusHype
Why Machine Reading Comprehension Models Learn Shortcuts?Code1
SemEval-2021 Task 4: Reading Comprehension of Abstract MeaningCode1
Fact-driven Logical Reasoning for Machine Reading ComprehensionCode1
KLUE: Korean Language Understanding EvaluationCode1
Dependency Parsing as MRC-based Span-Span PredictionCode1
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
Connecting Attributions and QA Model Behavior on Realistic CounterfactualsCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
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