Multilingual Deception Detection by Autonomous Agents
WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 480-484, 2020.
In this work we present the development of a multilingual deception detection model based on speech. In addition, we also develop a model that detects whether a statement will be perceived as a lie or not by human subjects. To this end, we developed a game for collecting a large scale and high quality labeled data-set in a controlled envi...More
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