GaoQ1/ner-slot_filling
中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF
This project helps you automatically understand what people mean when they type or say something in Chinese, and pinpoint specific pieces of information within their message. For instance, if a customer asks, "I want to book a flight to Beijing for tomorrow," it can identify "book a flight" as the intent and "Beijing" and "tomorrow" as key details. It's designed for anyone working with Chinese natural language to extract specific data points and categorize user requests.
188 stars. No commits in the last 6 months.
Use this if you need to automatically process Chinese text or speech to understand user intentions and extract relevant information like names, dates, or locations.
Not ideal if your primary need is general text generation, translation, or understanding languages other than Chinese.
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188
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47
Language
Python
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Last pushed
Sep 30, 2018
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