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Facilitating Discourse Analysis with Interactive Visualization.

Jian Zhao1, F Chevalier, C Collins

  • 1University of Toronto, Canada. jianzhao@dgp.toronto.edu

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Summary
This summary is machine-generated.

DAViewer is a new system that helps researchers visualize and analyze discourse parsing results. This tool aids in improving natural language processing algorithms for applications like text summarization and question answering.

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Area of Science:

  • Computational Linguistics
  • Human-Computer Interaction
  • Natural Language Processing

Background:

  • Discourse parsers are crucial for understanding document organization via rhetorical structure trees.
  • Current methods for improving parsing algorithms involve manual exploration of discourse structures.
  • Applications like text summarization, question answering, and dialogue generation rely on discourse parsing.

Purpose of the Study:

  • To introduce DAViewer, an interactive visualization system for discourse parser results.
  • To assist computational linguistics researchers in exploring, comparing, evaluating, and annotating discourse parsing outcomes.
  • To facilitate the improvement of natural language processing algorithms through enhanced data exploration.

Main Methods:

  • Development of DAViewer using an iterative, user-centered design process.
  • Collaboration with domain experts in computational linguistics throughout the design phase.
  • Implementation of interactive visualization and interaction techniques for discourse structure analysis.

Main Results:

  • DAViewer provides researchers with a tool to interactively explore discourse parsing results.
  • The system facilitates comparison and evaluation of different discourse parsing outcomes.
  • An informal formative study was conducted to assess the system's utility in a research environment.

Conclusions:

  • DAViewer offers a novel approach to analyzing discourse parser outputs.
  • The visualization system supports computational linguistics research by streamlining the evaluation process.
  • Further understanding of how visualization techniques are used in practice was gained through the study.