NTU-SQUAD/transformers-coqa
Albert for Conversational Question Answering Challenge
This project helps you build and evaluate a system that can answer questions conversationally. You provide it with a collection of dialogues (question-answer pairs in context) and it produces a model that can answer new, follow-up questions accurately. This tool is for researchers or developers focused on advancing conversational AI and natural language understanding.
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Use this if you need to train a state-of-the-art conversational question-answering model on your own CoQA-formatted datasets and compare its performance.
Not ideal if you're looking for a pre-built, ready-to-deploy conversational AI system without any development or model training.
Stars
22
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jun 12, 2023
Commits (30d)
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