David Sarne

2 accepted papers

2024

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

AAAI 2024technical

This paper focuses in the inherent anchoring bias present in sequential reviews-sentiment corpora annotation processes. It proposes employing a limited subset of meticulously chosen reviews at the outset of the process, as a means of calibration, effectively mitigating the phenomenon. Through extens…

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2020

Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction

David Sarne, Chen Rozenshtein

IJCAI 2020poster

This paper suggests a new paradigm for the design of collaborative autonomous agents engaged in executing a joint task alongside a human user. In particular, we focus on the way an agent's failures should affect its decision making, as far as user satisfaction measures are concerned. Unlike the co…

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