An Email Dataset for Analyzing Large-Group Decision-Making
Mladen Karan, Prashant Khare, Ravi Shekhar, Stephen Mcquistin, Colin Perkins, Ignacio Castro, Gareth Tyson, Patrick Healey, Matthew Purver
4th Workshop on Computational Approaches to Discourse Extended abstract Paper
TLDR:
(This is a findings paper).Collaboration increasingly happens online.This is especially true for large groups working on global tasks, with collaborators all around the world. The size and distributed nature of such groups makes decision-making challenging. This paper proposes a set of dialog acts f
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Abstract:
(This is a findings paper).Collaboration increasingly happens online.This is especially true for large groups working on global tasks, with collaborators all around the world. The size and distributed nature of such groups makes decision-making challenging. This paper proposes a set of dialog acts for the study of decision-making mechanisms in such groups, and provides a new annotated dataset based on real-world data from the public mail-archives of one such organization the Internet Engineering Task Force (IETF). Weprovide an initial data analysis showing that this dataset can be used to better understanddecision-making in such organizations. Finally, we experiment with a preliminary transformerbased dialog act tagging model.