davidalami/ConveRT
Dual Encoders for State-of-the-art Natural Language Processing.
This project helps customer service teams, chatbot developers, and anyone managing conversational AI understand and respond to user messages effectively. It takes raw text inputs, like customer questions or chat dialogue, and converts them into numerical representations. These representations can then be used to automatically categorize intent, find the best pre-written responses, or even power more intelligent chatbots.
No commits in the last 6 months.
Use this if you need to automate understanding of user messages, classify their intent, or improve the relevance of your chatbot's responses in a conversational setting.
Not ideal if your primary need is general-purpose text analysis outside of a conversational context or if you don't require advanced semantic understanding of dialogue.
Stars
61
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 07, 2022
Commits (30d)
0
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