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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 251–275 of 555 papers

TitleStatusHype
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Why Machine Reading Comprehension Models Learn Shortcuts?Code1
Does Structure Matter? Encoding Documents for Machine Reading Comprehension—0
THG: Transformer with Hyperbolic Geometry—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
SemEval-2021 Task 4: Reading Comprehension of Abstract MeaningCode1
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension—0
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models—0
Fact-driven Logical Reasoning for Machine Reading ComprehensionCode1
KLUE: Korean Language Understanding EvaluationCode1
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese—0
Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction—0
Dependency Parsing as MRC-based Span-Span PredictionCode1
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-trainingCode0
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer—0
Improving Cross-Lingual Reading Comprehension with Self-Training—0
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension—0
Conversational Machine Reading Comprehension for Vietnamese Healthcare TextsCode0
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised SummarizationCode0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Towards Robust Neural Retrieval Models with Synthetic Pre-Training—0
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