Student speech act classification using machine learning
Dialogue-based intelligent tutoring systems use speech act classifiers to categorize student input into answers, questions, and other speech acts. Previous work has primarily focused on question classification. In this paper, we present a complimentary speech act classifier that focuses primarily on non-questions, which was developed using machine learning techniques. Our results show that an effective speech act classifier can be developed directly from labeled data using decision trees. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.
Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24
Rasor, T., Olney, A., & D'Mello, S. (2011). Student speech act classification using machine learning. Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24, 275-280. Retrieved from https://digitalcommons.memphis.edu/facpubs/8637