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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 461–470 of 555 papers

TitleStatusHype
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
Cross-Lingual Question Answering over Knowledge Base as Reading ComprehensionCode0
Ellipsis Resolution as Question Answering: An EvaluationCode0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
mPMR: A Multilingual Pre-trained Machine Reader at ScaleCode0
Cross-Lingual Machine Reading ComprehensionCode0
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionCode0
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency GraphCode0
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut TriggersCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
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