A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
unpublished
One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users' commands, a task trivial for humans due to their common sense. In this paper, we propose a zeroshot commonsense reasoning system for conversational agents in an attempt to achieve this. Our reasoner uncovers unstated presumptions from user commands satisfying a general template of if-(state ), then-(action ), because-(goal ). Our reasoner uses a state-ofthe-art
doi:10.18653/v1/2021.emnlp-main.588
fatcat:exrvfblhtzbyxphallkm5hx2qy