Xlm Roberta Base Vietnamese
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Xlm Roberta Base Vietnamese
Developed by bhavikardeshna
This model proposes a method using cascading adapters to improve the performance of low-resource language QA systems through English data.
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Release Time : 3/2/2022
Model Overview
This model focuses on improving QA systems for low-resource languages by leveraging English data via cascading adapters.
Model Features
Cascading Adapters
Leverages English data through cascading adapters to enhance low-resource language QA system performance.
Low-resource Language Support
Focuses on improving QA system performance for low-resource languages.
Model Capabilities
Question Answering
Low-resource language processing
Cross-lingual transfer learning
Use Cases
Education
Multilingual Educational QA System
Provides QA support for students in low-resource language regions.
Improves QA system accuracy and coverage.
Customer Support
Multilingual Customer Support
Offers automated QA support for customers using low-resource languages.
Reduces workload for human support and increases response speed.
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