Applying Machine Learning to Discourse Processing

Contents

• Using Unsupervised Learning for Engineering of Spoken Dialogues

  Jens-Uwe Moeller

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• Estimating the Effectiveness of Conversational Behaviors in a Reading Tutor that Listens

  Gregory Aist and Jack Mostow

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• Dialog Act Modeling for Conversational Speech

  Andreas Stolcke, Elizabeth Shriberg, Rebecca Bates, Noah Coccaro, Daniel Jurafsky, Rachel Martin, Marie Meteer, Klaus Ries, Paul Taylor, and Carol Van Ess-Dykema

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• SGML-Based Markup as a Step toward Improving Knowledge Acquisition for Text Generation

  Reva Freedman, Yujian Zhou, Jung Hee Kim, Michael Glass, and Martha Evens

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• Relational Learning of Pattern-Match Rules for Information Extraction

  Mary Elaine Califf and Raymond J. Mooney

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• Improving Ellipsis Resolution with Transformation-Based Learning

  Daniel Hardt

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• Improving Dialogue Annotation Reliability

  Teresa Sikorski

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• Using Machine Learning to Identify Intonational Segments

  Julia Hirschberg and Christine H. Nakatani

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• Lexical Clustering and Definite Description Interpretation

  Massimo Poesio, Sabine Schulte im Walde, and Chris Brew

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• Clarity: Inferring Discourse Structure from Speech

  Michael Finke, Maria Lapata, Alon Lavie, Lori Levin, Laura Mayfield-Tomokiyo, Thomas Polzin, Klaus Ries, Alex Waibel, and Klaus Zechner

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• Learning Constraints for Plan-Based Discourse Processors with Genetic Programming

  Marc Mason and Carolyn Penstein Rose

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• A Statistical Model for Discourse Act Recognition in Dialogue Interactions

  Jennifer Chu-Carroll

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• Collocation Properties in Probabilistic Classifiers for Discourse Categorization

  Janyce M. Wiebe and Kenneth McKeever

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• Automating Coreference: The Role of Annotated Training Data

  Lynette Hirschman, Patricia Robinson, John Burger, and Marc Vilain

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• Towards Automated Analysis of Spoken Discourse Using Discourse Topology

  Susann Luperfoy and David Duff

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• Computing Dialogue Acts from Features with Transformation-Based Learning

  Ken Samuel, Sandra Carberry, and K. Vijay-Shanker

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• Identifying Discourse Markers in Spoken Dialog

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

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• An Application of Explanation-Based Learning to Discourse Generation and Interpretation

  Nancy Green and Jill Fain Lehman

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• Analyzing and Predicting Patterns of DAMSL Utterance Tags

  Mark G. Core

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• Learning Embedded Discourse Mechanisms for Information Extraction

  Andrew Kehler

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