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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 426450 of 555 papers

TitleStatusHype
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension0
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller0
面向机器阅读理解的高质量藏语数据集构建(Construction of High-quality Tibetan Dataset for Machine Reading Comprehension)0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes FromCode0
Single-Sentence Reader: A Novel Approach for Addressing Answer Position BiasCode0
U-Net: Machine Reading Comprehension with Unanswerable QuestionsCode0
Question Directed Graph Attention Network for Numerical Reasoning over TextCode0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
Sogou Machine Reading Comprehension ToolkitCode0
SQL Generation via Machine Reading ComprehensionCode0
Evidence Sentence Extraction for Machine Reading ComprehensionCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
Explaining Interactions Between Text SpansCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
What Makes Reading Comprehension Questions Easier?Code0
Stochastic Answer Networks for Machine Reading ComprehensionCode0
EQuANt (Enhanced Question Answer Network)Code0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
Dice Loss for Data-imbalanced NLP TasksCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehensionCode0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
English Machine Reading Comprehension Datasets: A SurveyCode0
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