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Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation

arXiv 2309.10057 ↗First posted 18 Sep 2023cs.CLcited by 0

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Abstract (arXiv)

Information extraction systems often produce hundreds to thousands of strings on a specific topic. We present a method that facilitates better consumption of these strings, in an exploratory setting in which a user wants to both get a broad overview of what's available, and a chance to dive deeper on some aspects. The system works by grouping similar items together and arranging the remaining items into a hierarchical navigable DAG structure. We apply the method to medical information extraction.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 18 Sep 2023.

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7 of 18 references.

References · 7

  1. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  2. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
  3. 2020Self-Alignment Pretraining for Biomedical Entity Representationscited by 237
  4. 2020Syntactic Search by Examplecited by 20
  5. 2020Interactive Extractive Search over Biomedical Corporacited by 10
  6. 2021Neural Extractive Searchcited by 2
  7. 2021Lookup or Exploratory: What is Your Search Intent?cited by 2

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