Mladen Karan, Prashant Khare, Ravi Shekhar, Stephen McQuistin, Ignacio Castro, Gareth Tyson, Colin Perkins, Patrick Healey, and Matthew Purver
Finding of the Association for Computational Linguistics,
July 2023.
DOI:10.18653/v1/2023.findings-acl.378
Collaboration increasingly happens online. This is especially true for
large groups working on global tasks, with collaborators all around the
globe. 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 organisation – the Internet
Engineering Task Force (IETF). We provide an initial data analysis
showing that this dataset can be used to better understand
decision-making in such organisations. Finally, we experiment with a
preliminary transformer-based dialog act tagging model.
Download: karan2023leda.pdf