SNUDerek/multiLSTM
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
This project helps build conversational AI assistants, often called chatbots, that can understand what a user wants to do and extract key pieces of information from their requests. You provide raw text sentences from users, and it outputs the detected overall intention (like 'find a flight') and specific details within the sentence (like 'departure city: New York'). This is ideal for developers building task-oriented chatbots or virtual agents.
125 stars. No commits in the last 6 months.
Use this if you are developing a chatbot and need to automatically identify both the user's intent and specific details within their natural language queries.
Not ideal if you are looking for a ready-to-use chatbot solution or a tool that doesn't require programming expertise.
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Last pushed
Aug 23, 2018
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