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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 481–490 of 555 papers

TitleStatusHype
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Subword-augmented Embedding for Cloze Reading ComprehensionCode0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Symmetric Regularization based BERT for Pair-wise Semantic ReasoningCode0
Synonym Knowledge Enhanced Reader for Chinese Idiom Reading ComprehensionCode0
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-trainingCode0
Towards Robust Text Retrieval with Progressive LearningCode0
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Multi-tasking Dialogue Comprehension with Discourse ParsingCode0
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