Applying Machine Learning to Discourse Processing
Papers from the 1998 AAAI Spring Symposium
Jennifer Chu-Carroll and Nancy Green, Program Cochairs
Technical Report SS-98-01. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Long Papers
Estimating the Effectiveness of Conversational Behaviors in a Reading Tutor that Listens / 1
Gregory Aist and Jack Mostow
Relational Learning of Pattern-Match Rules for Information Extraction / 5
Mary Elaine Califf and Raymond J. Mooney
A Statistical Model for Discourse Act Recognition in Dialogue Interactions / 12
Jennifer Chu-Carroll
Analyzing and Predicting Patterns of DAMSL Utterance Tags / 18
Mark G. Core
Clarity: Inferring Discourse Structure from Speech / 25
Michael Finke, Maria Lapata, Alon Lavie, Lori Levin, Laura Mayfield-Tomokiyo, Thomas Polzin, Klaus Ries, Alex Waibel, and Klaus Zechner
An Application of Explanation-Based Learning to Discourse Generation and Interpretation / 33
Nancy Green and Jill Fain Lehman
Improving Ellipsis Resolution with Transformation-Based Learning / 41
Daniel Hardt
Identifying Discourse Markers in Spoken Dialog / 44
Peter A. Heeman, Donna Byron and James F. Allen
Using Machine Learning to Identify Intonational Segments / 52
Julia Hirschberg and Christine H. Nakatani
Learning Embedded Discourse Mechanisms for Information Extraction / 60
Andrew Kehler
Learning Constraints for Plan-Based Discourse Processors with Genetic Programming / 68
Marc Mason and Carolyn Penstein Rose
Using Unsupervised Learning for Engineering of Spoken Dialogues / 75
Jens-Uwe Moeller
Lexical Clustering and Definite Description Interpretation / 82
Massimo Poesio, Sabine Schulte im Walde, and Chris Brew
Computing Dialogue Acts from Features with Transformation-Based Learning / 90
Ken Samuel, Sandra Carberry, and K. Vijay-Shanker
Dialog Act Modeling for Conversational Speech / 96
Andreas Stolcke, Elizabeth Shriberg, Rebecca Bates, Noah Coccaro, Daniel Jurafsky, Rachel Martin, Marie Meteer, Klaus Ries, Paul Taylor, and Carol Van Ess-Dykema
Collocation Properties in Probabilistic Classifiers for Discourse Categorization / 106
Janyce M. Wiebe and Kenneth McKeever
Short Papers
SGML-Based Markup as a Step toward Improving Knowledge Acquisition for Text Generation / 114
Reva Freedman, Yujian Zhou, Jung Hee Kim, Michael Glass, and Martha Evens
Automating Coreference: The Role of Annotated Training Data / 118
Lynette Hirschman, Patricia Robinson, John Burger, and Marc Vilain
Towards Automated Analysis of Spoken Discourse Using Discourse Topology / 122
Susann Luperfoy and David Duff
Improving Dialogue Annotation Reliability / 125
Teresa Sikorski
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