QARR-FSQA: Question-Answer Replacement and Removal Pretraining Framework for Few-Shot Question Answering

Keyphrases

• Question Answering 100%
• Few-shot 100%
• Answering Questions 100%
• Model Performance 20%
• Question-answer Pairs 20%
• Few-shot Scenario 20%
• Natural Language Processing 10%
• Concatenated 10%
• Training Data 10%
• Token 10%
• Removal Methods 10%
• Data Preprocessing 10%
• F1 Score 10%
• New Dataset 10%
• Number of Training Samples 10%
• Targeted Sequencing 10%
• Optimization Objectives 10%
• Limited Samples 10%
• English Reading Comprehension 10%
• Improving Model 10%
• Prefix 10%
• Model Generalization 10%
• Augmented Dataset 10%
• Input Sequence 10%
• Question Answering System 10%
• Task-involving 10%
• SQuAD Dataset 10%
• Comprehension Tasks 10%
• Predefined Templates 10%
• Discrete Reasoning 10%
• Replacement Method 10%
• Question Answering Technique 10%

Computer Science

• Answer Question 100%
• Training Data 16%
• Natural Language Processing 16%
• Training Sample 16%
• Performance Model 16%
• Optimisation Objective 16%
• Data Preprocessing 16%
• question answering system 16%
• Target Sequence 16%

Material Science

• Light-Emitting Diode 100%