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Evaluating Agent Interactions Through Episodic Knowledge Graphs

2022-09-22 12:42:09
Selene Báez Santamaría, Piek Vossen, Thomas Baier
arXiv_AI
         
Abstract

We present a new method based on episodic Knowledge Graphs (eKGs) for evaluating (multimodal) conversational agents in open domains. This graph is generated by interpreting raw signals during conversation and is able to capture the accumulation of knowledge over time. We apply structural and semantic analysis of the resulting graphs and translate the properties into qualitative measures. We compare these measures with existing automatic and manual evaluation metrics commonly used for conversational agents. Our results show that our Knowledge-Graph-based evaluation provides more qualitative insights into interaction and the agent's behavior.

Abstract (translated)

URL

https://arxiv.org/abs/2209.11746

PDF

https://arxiv.org/pdf/2209.11746.pdf

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