Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation

Itay Yair; Hillel Taub-Tabib; Yoav Goldberg

doi:10.18653/v1/2023.acl-demo.27

Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation

Itay Yair, Hillel Taub-Tabib, Yoav Goldberg

Department of Computer Science

Allen Institute for Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	System Demonstrations
Publisher	Association for Computational Linguistics (ACL)
Pages	282-290
Number of pages	9
ISBN (Electronic)	9781959429708
DOIs	https://doi.org/10.18653/v1/2023.acl-demo.27
State	Published - 2023
Event	61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023 - Toronto, Canada Duration: 10 Jul 2023 → 12 Jul 2023

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
Volume	3
ISSN (Print)	0736-587X

Conference

Conference	61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023
Country/Territory	Canada
City	Toronto
Period	10/07/23 → 12/07/23

Bibliographical note

Publisher Copyright:
© ACL-DEMO 2023. All rights reserved.

Access to Document

10.18653/v1/2023.acl-demo.27

Cite this

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title = "Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation",

abstract = "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.",

author = "Itay Yair and Hillel Taub-Tabib and Yoav Goldberg",

note = "Publisher Copyright: {\textcopyright} ACL-DEMO 2023. All rights reserved.; 61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023 ; Conference date: 10-07-2023 Through 12-07-2023",

year = "2023",

doi = "10.18653/v1/2023.acl-demo.27",

language = "אנגלית",

series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

pages = "282--290",

booktitle = "System Demonstrations",

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Yair, I, Taub-Tabib, H & Goldberg, Y 2023, Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation. in System Demonstrations. Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 3, Association for Computational Linguistics (ACL), pp. 282-290, 61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023, Toronto, Canada, 10/07/23. https://doi.org/10.18653/v1/2023.acl-demo.27

Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation. / Yair, Itay; Taub-Tabib, Hillel; Goldberg, Yoav.
System Demonstrations. Association for Computational Linguistics (ACL), 2023. p. 282-290 (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Hierarchy builder: Organizing textual spans into a hierarchy to facilitate navigation

Abstract

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Bibliographical note

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