Dialogue Structure and Pronoun Resolution

Abstract

This paper presents an empirical evaluation of a pronoun resolution algorithm augmented with discourse segmentation information. Past work has shown that segmenting discourse can aid in pronoun resolution by making potentially erroneous candidates inaccessible to a pronoun's search. However, implementing this in practice has been difficult given the complexities associated with deciding on a useful scheme and then generating the segmentation reliably. In our study, we investigate whether or not shallow schemes that are easy to generate will improve pronoun resolution in a task-oriented corpus of dialogues. Our results show that incorporating this shallow segmentation at best marginally improves pronoun resolution performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA454720

Entities

People

  • James F. Allen
  • Joel R. Tetreault

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Counter IED
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Automatic
  • Computational Linguistics
  • Computer Science
  • Computer Vision
  • Context Free Grammars
  • High Reliability
  • Language
  • Linguistics
  • Models
  • Natural Languages
  • Ontologies
  • Reliability
  • Semantics
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics
  • Systems Analysis and Design