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    <abstract>In group decision-making, the nuanced process of conflict and resolution that leads to consensus formation is closely tied to the quality of decisions made. Behavioral scientists rarely have rich access to process variables, though, as unstructured discussion transcripts are difficult to analyze. Here, we define ways for NLP researchers to contribute to the study of groups and teams. We introduce three tasks alongside a large new corpus of over 400,000 group debates on Wikipedia. We describe the tasks and their importance, then provide baselines showing that BERT contextualized word embeddings consistently outperform other language representations.</abstract>
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%0 Conference Proceedings
%T Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making
%A Mayfield, Elijah
%A Black, Alan
%Y Volkova, Svitlana
%Y Jurgens, David
%Y Hovy, Dirk
%Y Bamman, David
%Y Tsur, Oren
%S Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F mayfield-black-2019-stance
%X In group decision-making, the nuanced process of conflict and resolution that leads to consensus formation is closely tied to the quality of decisions made. Behavioral scientists rarely have rich access to process variables, though, as unstructured discussion transcripts are difficult to analyze. Here, we define ways for NLP researchers to contribute to the study of groups and teams. We introduce three tasks alongside a large new corpus of over 400,000 group debates on Wikipedia. We describe the tasks and their importance, then provide baselines showing that BERT contextualized word embeddings consistently outperform other language representations.
%R 10.18653/v1/W19-2108
%U https://aclanthology.org/W19-2108
%U https://doi.org/10.18653/v1/W19-2108
%P 65-77

Markdown (Informal)

[Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making](https://aclanthology.org/W19-2108) (Mayfield & Black, NLP+CSS 2019)

• Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making (Mayfield & Black, NLP+CSS 2019)

ACL

• Elijah Mayfield and Alan Black. 2019. Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making. In Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science, pages 65–77, Minneapolis, Minnesota. Association for Computational Linguistics.