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.
CITATION STYLE
Yair, I., Taub-Tabib, H., & Goldberg, Y. (2023). Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 3, pp. 282–290). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-demo.27
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