Paper: Picking the Amateur's Mind - Predicting Chess Player Strength from Game Annotations

ACL ID C14-1031
Title Picking the Amateur's Mind - Predicting Chess Player Strength from Game Annotations
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Results from psychology show a connection between a speaker?s expertise in a task and the lan- guage he uses to talk about it. In this paper, we present an empirical study on using linguistic evidence to predict the expertise of a speaker in a task: playing chess. Instructional chess litera- ture claims that the mindsets of amateur and expert players differ fundamentally (Silman, 1999); psychological science has empirically arrived at similar results (e.g., Pfau and Murphy (1988)). We conduct experiments on automatically predicting chess player skill based on their natural lan- guage game commentary. We make use of annotated chess games, in which players provide their own interpretation of game in prose. Based on a dataset collected from an online chess forum, we predict player strength th...