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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

Showing 101125 of 555 papers

TitleStatusHype
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response DetectionCode0
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on NovelsCode0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
From Dataset Recycling to Multi-Property Extraction and BeyondCode0
BIOMRC: A Dataset for Biomedical Machine Reading ComprehensionCode0
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionCode0
Have my arguments been replied to? Argument Pair Extraction as Machine Reading ComprehensionCode0
Hierarchical Attention: What Really Counts in Various NLP TasksCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Explaining Interactions Between Text SpansCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
EQuANt (Enhanced Question Answer Network)Code0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
English Machine Reading Comprehension Datasets: A SurveyCode0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
CliCR: A Dataset of Clinical Case Reports for Machine Reading ComprehensionCode0
Ellipsis Resolution as Question Answering: An EvaluationCode0
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