Dialogue Structure Annotation for Multi-Floor Interaction

Abstract

We present an annotation scheme for meso-level dialogue structure, specifically designed for multi-floor dialogue. The scheme includes a transaction unit that clusters utterances from multiple participants and floors into units according to realization of an initiators intent, and relations between individual utterances within the unit. We apply this scheme to annotate a corpus of multi-floor human-robot interaction dialogues. We examine the patterns of structure observed in these dialogues and present inter-annotator statistics and relative frequencies of types of relations and transaction units. Finally, some example applications of these annotations are introduced.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2018
Accession Number
AD1158390

Entities

People

  • Cassidy Henry
  • Claire Bonial
  • Clare R. Voss
  • Cory J. Hayes
  • David R Traum
  • Felix Gervitz
  • Kimberley A. Pollard
  • Matthew Marge
  • Ron Artstein
  • Stephanie Lukin
  • Su Lei
  • Susan G. Hill

Organizations

  • Tufts University
  • United States Army Research Laboratory
  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Agreements
  • Cognitive Science
  • Computer Programming
  • Computer Science
  • Computers
  • Feedback
  • Human-Robot Interaction
  • Information Retrieval
  • Instructions
  • Language
  • Natural Languages
  • Robots
  • Sequences
  • Test And Evaluation
  • Text Messaging
  • Training
  • Translations

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Autonomy