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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 251–300 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
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-trainingCode0
ExpMRC: Explainability Evaluation for Machine Reading ComprehensionCode1
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
Connecting Attributions and QA Model Behavior on Realistic CounterfactualsCode1
What does BERT Learn from Arabic Machine Reading Comprehension Datasets?—0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents—0
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension—0
Robustly Optimized and Distilled Training for Natural Language Understanding—0
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data—0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget—0
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning—0
VisualMRC: Machine Reading Comprehension on Document ImagesCode1
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
English Machine Reading Comprehension Datasets: A SurveyCode0
Towards Confident Machine Reading Comprehension—0
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
TSQA: Tabular Scenario Based Question AnsweringCode1
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking—0
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis—0
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering—0
Uncertainty-Based Adaptive Learning for Reading Comprehension—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
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