Michal Shmueli-Scheuer
ABSTRACT
As part of the raging commercial development of chatbot systems, the ability to improve the quality of conversations quickly and consistently is crucial. In this work, we focus on egregious conversations and the dialog failure points that lead to these extremely bad dialogs. We present a tool that helps chatbot designers exploring and prioritizing failure points that need to be handled. Each failure is accompanied with an explanation and a suggested remedy.
- S. Kullback and R. A. Leibler. 1951. On Information and Sufficiency. Ann. Math. Statist. 22, 1 (1951), 79--86.Google Scholar
Cross Ref
- Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, and Rottem Shaul. 2017a. EHCTool: Managing Emotional Hotspots for Conversational Agents (IUI '17 Companion). 125--128. Google ScholarDigital Library
- Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John Richards, and David Piorkowski. 2017b. Detecting Egregious Conversations between Customers and Virtual Agents. CoRR (2017). http://arxiv.org/abs/1711.05780Google Scholar
- Michal Shmueli-Scheuer, Haggai Roitman, David Carmel, Yosi Mass, and David Konopnicki. 2010. Extracting User Profiles from Large Scale Data. In Workshop on Massive Data Analytics on the Cloud. Google ScholarDigital Library
Index Terms
- Exploring the Universe of Egregious Conversations in Chatbots
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