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This paper investigates edge decision mechanisms for the GraphLearner algorithm, particularly in ambiguous cases where no or multiple matching edges exist. A novel feature extractor, N-Gram Midpoints, is introduced which enables associative hashing of natural language text.

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Edge Decisions and N-Gram Midpoints with the GraphLearner

  • 会议论文

  • 发表日期：

    2026年

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  • Timothy Harrison,
  • Herwig Unger

摘要

This paper investigates edge decision mechanisms for the GraphLearner algorithm, particularly in ambiguous cases where no or multiple matching edges exist. A novel feature extractor, N-Gram Midpoints, is introduced which enables associative hashing of natural language text.