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Automatic analysis of social interactions attracts major attention in the computing community, but relatively few benchmarks are available to researchers active in the domain. This paper presents a new, publicly available, corpus of political debates including not only raw data, but a rich set of socially relevant annotations such as turn-taking (who speaks when and how much), agreement and disagreement between participants, and role played by people involved in each debate. The collection includes 70 debates for a total of 43 hours and 10 minutes of material.
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Alessandro Vinciarelli
University of Glasgow
Alfred Dielmann
Télécom Paris
Sarah Favre
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
Idiap Research Institute
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Vinciarelli et al. (Tue,) studied this question.
synapsesocial.com/papers/6a1d705ccc9f7df1b7057048 — DOI: https://doi.org/10.1109/acii.2009.5349466
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