A Leader’s Final Decision Classification Model Tested on Meeting Records with BERT

JinYeong Bak, Alice Oh

http://doi.org/10.5626/JOK.2021.48.5.568

The ways in which leaders make decisions affect the performance of the group. To understand these decision-making processes, we first formalize the problem as predicting leaders" decisions from discussion with group members. For this purpose, we introduce conversational meeting records from the annals of the Joseon dynasty. Using this dataset, we develop a Conversational Decision Making Model with BERT (CDMM-B). CDMM-B is a hierarchical structure of RNN and BERT which simultaneously uses both words and speakers. CDMM-B outperforms other baselines in predicting leaders" final decisions. We also investigate the importance of speakers and the order of utterances for the task through an ablation study.