Tracing Consensus Formation in Meetings: Annotation and Incremental Decision Modelling in the MEET Corpus

Abstract

We present an incremental annotation scheme and discourse model designed specifically for the study of consensus formation in collaborative meetings. By grounding the representation in observable contributions and enforcing a strict no-lookahead principle, the model provides a tractable way to analyse how decisions emerge over the course of interaction. The resulting structures are intentionally minimal yet expressive enough to capture the evolving task state and support dynamic visualisation and replay of the decision process. A web-based reference implementation of the model demonstrates how the evolving decision state can be inspected and replayed during analysis. Together with a suitable corpus, this framework provides a practical foundation for investigating the multimodal dynamics of collaborative decision-making in professional meetings.

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