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Found 9 papers, 1 papers with code
Commonsense Justification for Action Explanation
To enable collaboration and communication between humans and agents, this paper investigates learning to acquire commonsense evidence for action justification.
What Action Causes This? Towards Naive Physical Action-Effect Prediction
Despite recent advances in knowledge representation, automated reasoning, and machine learning, artificial agents still lack the ability to understand basic action-effect relations regarding the physical world, for example, the action of cutting a cucumber most likely leads to the state where the cucumber is broken apart into smaller pieces.
On Evaluating and Comparing Open Domain Dialog Systems
In this paper, we propose a comprehensive evaluation strategy with multiple metrics designed to reduce subjectivity by selecting metrics which correlate well with human judgement.
