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Update app.py
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app.py
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st.markdown("""
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### ℹ️ About SemViQA
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**Author:** [**
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SemViQA is a cutting-edge Vietnamese fact-checking system designed to combat misinformation. It leverages semantic-based evidence retrieval (SER) and a two-step verdict classification (TVC) approach to verify claims efficiently. By combining TF-IDF with a Question Answering Token Classifier (QATC), SemViQA improves accuracy while reducing inference time. Achieving state-of-the-art performance, it has set new benchmarks on ViWikiFC (80.82% accuracy) and ISE-DSC01 (78.97% accuracy) datasets. With its 7x speed boost, SemViQA is a powerful tool for ensuring information integrity in the Vietnamese language.
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st.markdown("""
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### ℹ️ About SemViQA
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**Author:** [**Dien X. Tran**](https://github.com/xndien2004), [**Nam V. Nguyen**](https://github.com/DAVID-NGUYEN-S16), Thanh T. Tran, Anh T. Hoang, Tai V. Duong, Di T. Le, Phuc-Lu Le
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SemViQA is a cutting-edge Vietnamese fact-checking system designed to combat misinformation. It leverages semantic-based evidence retrieval (SER) and a two-step verdict classification (TVC) approach to verify claims efficiently. By combining TF-IDF with a Question Answering Token Classifier (QATC), SemViQA improves accuracy while reducing inference time. Achieving state-of-the-art performance, it has set new benchmarks on ViWikiFC (80.82% accuracy) and ISE-DSC01 (78.97% accuracy) datasets. With its 7x speed boost, SemViQA is a powerful tool for ensuring information integrity in the Vietnamese language.
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