taishan1994/pytorch_bert_intent_classification_and_slot_filling
基于pytorch的中文意图识别和槽位填充
This project helps build intelligent chatbots and voice assistants that understand user requests in Chinese. It takes a user's natural language input, like '从合肥到上海可以到哪坐车？', and identifies their core 'intent' (e.g., QUERY) as well as extracting specific 'slots' of information (e.g., Src: 合肥, Dest: 上海). Anyone building conversational AI for Chinese-speaking users can use this.
212 stars. No commits in the last 6 months.
Use this if you need to build a system that can accurately understand user intentions and extract key information from Chinese conversational text for tasks like customer service or smart home control.
Not ideal if your primary need is for languages other than Chinese, or if you only require simple keyword matching without deep semantic understanding.
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Python
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Aug 05, 2025
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