Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation
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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
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
- 2020Self-Alignment Pretraining for Biomedical Entity Representationscited by 237
- 2020Syntactic Search by Examplecited by 20
- 2020Interactive Extractive Search over Biomedical Corporacited by 10
- 2021Neural Extractive Searchcited by 2
- 2021Lookup or Exploratory: What is Your Search Intent?cited by 2
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