AAAI

Smodels: A System for Answer Set Programming

Ilkka Niemela, Patrik Simons, Tommi Syrjanen

Comments Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, April 9-11, 2000, Breckenridge, Colorado 4 pages, uses aaai.sty

Lazy Transformation-Based Learning

Ken Samuel

Comments 5 pages, 4 Postscript figures, uses aaai.sty and aaai.bst

Journal ref Proceedings of the 11th International Florida Artificial Intelligence Research Symposium Conference

Computing Dialogue Acts from Features with Transformation-Based Learning

Ken Samuel, Sandra Carberry, K. Vijay-Shanker

Comments 8 pages, 1 Postscript figure, uses aaai.sty and aaai.bst

Journal ref Applying Machine Learning to Discourse Processing: Papers from the 1998 AAAI Spring Symposium

Identifying Discourse Markers in Spoken Dialog

Peter A. Heeman, Donna Byron, James F. Allen

Comments 8 pages, uses psfig

Journal ref AAAI 1998 Spring Symposium on Applying Machine Learning to Discourse Processing

Multi-document Summarization by Graph Search and Matching

Inderjeet Mani, Eric Bloedorn

Comments 7 pages, 5 Postscript figures, uses aaai.sty

On the use of expectations for detecting and repairing human-machine miscommunication

Morena Danieli

Comments 7 pages, LaTeX, uses aaai.sty

Journal ref Proceedings of AAAI-96 Workshop on Detecting, Preventing, and Repairing Human-Machine Miscommunications, Portland, OR, pp. 87-93

Naming Games in Spatially-Embedded Random Networks

Qiming Lu, G. Korniss, Boleslaw K. Szymanski

Comments We have found a programming error in our code used to generate the results of the earlier version. We have corrected the error, reran all simulations, and regenerated all data plots. While the qualitative behavior of the model has not changed, the numerical values of some of the scaling exponents did. 7 figures

Journal ref Proceedings of the 2006 American Association for Artificial Intelligence Fall Symposium Series, Interaction and Emergent Phenomena in Societies of Agents (AAAI Press, Menlo Park, CA 2006) pp. 148-155

Automating Coreference: The Role of Annotated Training Data

Lynette Hirschman, Patricia Robinson, John Burger, Marc Vilain

Comments 4 pages, 5 figures. To appear in the AAAI Spring Symposium on Applying Machine Learning to Discourse Processing. The Alembic Workbench annotation tool described in this paper is available at http://www.mitre.org/resources/centers/advanced_info/g04h/workbench.html