Abstract
Information extraction systems often producehundreds to thousands of strings on a specifictopic. We present a method that facilitatesbetter consumption of these strings, in an ex-ploratory setting in which a user wants to bothget a broad overview of what’s available, and achance to dive deeper on some aspects. The sys-tem works by grouping similar items together,and arranging the remaining items into a hierar-chical navigable DAG structure. We apply themethod to medical information extraction.- Anthology ID:
- 2023.acl-demo.27
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Danushka Bollegala, Ruihong Huang, Alan Ritter
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 282–290
- Language:
- URL:
- https://aclanthology.org/2023.acl-demo.27
- DOI:
- 10.18653/v1/2023.acl-demo.27
- Cite (ACL):
- Itay Yair, Hillel Taub-Tabib, and Yoav Goldberg. 2023. Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 282–290, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation (Yair et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.acl-demo.27.pdf