INK-USC/SalKG
This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"
This project helps researchers and AI practitioners enhance the ability of AI models to answer complex, commonsense questions. By feeding in knowledge graphs and question-answer datasets, it improves how AI models understand and reason about everyday situations. This is ideal for those developing advanced AI systems that need to explain their reasoning.
No commits in the last 6 months.
Use this if you are a researcher or AI engineer working on natural language understanding and want to improve your models' ability to answer commonsense questions by leveraging knowledge graph explanations.
Not ideal if you need a plug-and-play solution for general natural language processing tasks or do not have access to structured knowledge graph data.
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Python
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Last pushed
Jun 09, 2022
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