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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 26–50 of 555 papers

TitleStatusHype
Interactive Machine Comprehension with Dynamic Knowledge GraphsCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading ComprehensionCode1
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical ReasoningCode1
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningCode1
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity RecognitionCode1
A Robustly Optimized BMRC for Aspect Sentiment Triplet ExtractionCode1
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading ComprehensionCode1
A Self-Training Method for Machine Reading Comprehension with Soft Evidence ExtractionCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair ExtractionCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
Context-faithful Prompting for Large Language ModelsCode1
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningCode1
Dependency Parsing as MRC-based Span-Span PredictionCode1
DUMA: Reading Comprehension with Transposition ThinkingCode1
End-to-End Chinese Speaker IdentificationCode1
FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkCode1
An MRC Framework for Semantic Role LabelingCode1
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the GapCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
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