Emanuals BERT
A RoBERTa-based multi-task learning framework designed for electronic device manual question answering
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Release Time : 3/2/2022
Model Overview
EMQAP is a question answering system tailored for electronic device manuals, capable of locating the relevant manual chapter and precisely extracting answer spans. The system demonstrates outstanding performance on annotated QA data from electronic manuals, achieving approximately 40% improvement in ROUGE-L F1 score over baseline models.
Model Features
Multi-task Learning Framework
Simultaneously performs the dual tasks of locating relevant manual chapters and precisely extracting answer spans
Large-scale Corpus Support
Pre-trained on the E-Manual Corpus containing 307,957 electronic manuals
Exceptional Performance
Achieves approximately 40% improvement in ROUGE-L F1 score over the most competitive baseline models on annotated QA data from electronic manuals
Model Capabilities
Electronic Device Manual QA
Answer Localization
Answer Span Extraction
Use Cases
Customer Support
Electronic Device Troubleshooting
Helps users quickly locate solutions for device malfunctions
40% accuracy improvement over baseline
Knowledge Management
Electronic Manual Knowledge Extraction
Rapidly extracts specific information from vast electronic manuals
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