WenRichard/QAmodel-for-Retrievalchatbot
A collection of QA models for Chinese retrieval-based chatbots using tf-idf, CNN, Transformer, and BERT.
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This repository provides multiple approaches for building Chinese retrieval-based chatbots, ranging from classical methods like tf-idf and LSA to deep learning models including CNN and Transformer architectures. It implements semantic similarity matching between questions to retrieve appropriate answers from a FAQ corpus. The project serves as an educational resource demonstrating progression from basic feature matching to BERT-based models for question answering.
Frequently asked
- What is WenRichard/QAmodel-for-Retrievalchatbot?
- A collection of QA models for Chinese retrieval-based chatbots using tf-idf, CNN, Transformer, and BERT.
- Is QAmodel-for-Retrievalchatbot open source?
- Yes — WenRichard/QAmodel-for-Retrievalchatbot is open source, released under the MIT license.
- What language is QAmodel-for-Retrievalchatbot written in?
- WenRichard/QAmodel-for-Retrievalchatbot is primarily written in Python.
- How popular is QAmodel-for-Retrievalchatbot?
- WenRichard/QAmodel-for-Retrievalchatbot has 443 stars on GitHub.
- Where can I find QAmodel-for-Retrievalchatbot?
- WenRichard/QAmodel-for-Retrievalchatbot is on GitHub at https://github.com/WenRichard/QAmodel-for-Retrievalchatbot.