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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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Showing 471–480 of 555 papers

TitleStatusHype
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension BenchmarkCode0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
BIOMRC: A Dataset for Biomedical Machine Reading ComprehensionCode0
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading ComprehensionCode0
Reference Knowledgeable Network for Machine Reading ComprehensionCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Reinforced Mnemonic Reader for Machine Reading ComprehensionCode0
Coreference Reasoning in Machine Reading ComprehensionCode0
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