Students working

TagHelper 2.0

A Semi-Automatic Tool That Facilitates Reliable Content Analysis of Corpus Data

Funded by: NSF through the Pittsburgh Sciences of Learning Center
PI: Carolyn Rose
Co-PI: William Cohen
Students and Staff: Pinar Donmez, Cammie Williams
Website: http://www.cs.cmu.edu/~cprose/TagHelper.html

Note: There will be a TagHelper Tools Tutorial at AI in Education 2007 .

The goal of our research is to develop text classification technology to address concerns specific to classifying sentences using coding schemes developed for behavioral research. A wide range of behavioral researchers including social scientists, psychologists, learning scientists, and education researchers collect, code, and analyze large quantities of natural language corpus data as an important part of their research. A particular focus of our work is developing text classification technology that performs well on highly skewed data sets, which is an active area of machine learning research.


Publications

Gweon, G., Rose, C. P., Zaiss, Z., & Carey, R. (2006). Providing Support for Adaptive Scripting in an On-Line Collaborative Learning Environment, Proceedings of CHI 06: ACM conference on human factors in computer systems. New York: ACM Press.

Arguello, J., Buttler, B., Joyce, E., Kraut, R., Ling, K., Wang, X., Rose, C. (2006). Talk to Me: Foundations for Successful Individual-Group Interactions in Online Communities, Proceedings of CHI 06: ACM conference on human factors in computer systems. New York: ACM Press.

Arguello, J. and Rose, C. P. (2006). Museli: A Multi-source Evidence Integration Approach to Topic Segmentation of Spontaneous Dialogue, Proceedings of the North American Chapter of the Association for Computational Linguistics

Gweon, G., Rose, C. P., Wittwer, J., Nueckles, M. (2005). An Adaptive Interface that Facilitates Reliable Content Analysis of Corpus Data, Proceedings of Interact '05

Rose, C., Donmez, P., Gweon, G., Knight, A., Junker, B., Cohen, W., Koedinger, K., & Heffernan, N (2005). Automatic and Semi-Automatic Skill Coding with a View Towards Supporting On-Line Assessment, Proceedings of AI in Education '05.

Donmez, P., Rose, C. P., Stegmann, K., Weinberger, A., and Fischer, F. (2005). Supporting CSCL with Automatic Corpus Analysis Technology , to appear in the Proceedings of Computer Supported Collaborative Learning.

Rose, C. P., and VanLehn, K. (2005). An Evaluation of a Hybrid Language Understanding Approach for Robust Selection of Tutoring Goals, International Journal of AI in Education 15(4).