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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 2650 of 555 papers

TitleStatusHype
Relational Surrogate Loss LearningCode1
JaQuAD: Japanese Question Answering Dataset for Machine Reading ComprehensionCode1
On the Robustness of Reading Comprehension Models to Entity RenamingCode1
Tracing Origins: Coreference-aware Machine Reading ComprehensionCode1
MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsCode1
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple DocumentsCode1
CodeQA: A Question Answering Dataset for Source Code ComprehensionCode1
Context-NER : Contextual Phrase Generation at ScaleCode1
An MRC Framework for Semantic Role LabelingCode1
RoR: Read-over-Read for Long Document Machine Reading ComprehensionCode1
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational GraphsCode1
Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading ComprehensionCode1
Interactive Machine Comprehension with Dynamic Knowledge GraphsCode1
FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkCode1
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin InformationCode1
Why Machine Reading Comprehension Models Learn Shortcuts?Code1
SemEval-2021 Task 4: Reading Comprehension of Abstract MeaningCode1
Fact-driven Logical Reasoning for Machine Reading ComprehensionCode1
KLUE: Korean Language Understanding EvaluationCode1
Dependency Parsing as MRC-based Span-Span PredictionCode1
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
Connecting Attributions and QA Model Behavior on Realistic CounterfactualsCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
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