6 July 2018- Gabriel Murray: Seminar
NLP and Group Dynamics
The dynamics of small group interactions are an area of study for many disciplines ranging from social psychology to organizational behaviour and communication. There has been a surprisingly small amount of research on using natural language processing for understanding and predicting small group phenomena. This talk will present a variety of tasks and experimental results demonstrating that NLP can be useful for predicting aspects of group interaction, such as predicting group performance on a task, detecting hidden sentiment of group participants, and learning about unobserved group behaviours through meeting artifacts. It will also be argued that language-based predictive models are very valuable when we need to provide interpretable models or actionable feedback to a group -- two scenarios where nonverbal models on their own may be insufficient.
Gabriel Murray is an Associate Professor in Computer Information Systems at University of the Fraser Valley, and an Affiliate Professor in Computer Science at University of British Columbia (Canada). His research primarily focuses on the intersection of speech and language processing and small group interaction. He teaches a variety of courses related to artificial intelligence, including machine learning and natural language processing. He received his PhD in Informatics from the University of Edinburgh, under the supervision of Drs. Steve Renals and Johanna Moore.