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CARE: Collaborative AI-Assisted Reading Environment

Zyska, Dennis ; Dycke, Nils ; Buchmann, Jan ; Kuznetsov, Ilia ; Gurevych, Iryna (2024)
CARE: Collaborative AI-Assisted Reading Environment.
The 61st Annual Meeting of the Association for Computational Linguistics. Toronto, Canada (09.07.2023 - 14.07.2023)
doi: 10.26083/tuprints-00027659
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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: CARE: Collaborative AI-Assisted Reading Environment
Language: English
Date: 16 July 2024
Place of Publication: Darmstadt
Year of primary publication: 2023
Place of primary publication: Kerrville, TX, USA
Publisher: ACL
Book Title: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Event Title: The 61st Annual Meeting of the Association for Computational Linguistics
Event Location: Toronto, Canada
Event Dates: 09.07.2023 - 14.07.2023
DOI: 10.26083/tuprints-00027659
Corresponding Links:
Origin: Secondary publication service
Abstract:

Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking. We propose inline commentary as a natural vehicle for AI-based reading assistance, and present CARE: the first open integrated platform for the study of inline commentary and reading. CARE facilitates data collection for inline commentaries in a commonplace collaborative reading environment, and provides a framework for enhancing reading with NLP-based assistance, such as text classification, generation or question answering. The extensible behavioral logging allows unique insights into the reading and commenting behavior, and flexible configuration makes the platform easy to deploy in new scenarios. To evaluate CARE in action, we apply the platform in a user study dedicated to scholarly peer review. CARE facilitates the data collection and study of inline commentary in NLP, extrinsic evaluation of NLP assistance, and application prototyping. We invite the community to explore and build upon the open source implementation of CARE. Github Repository: https://github.com/UKPLab/CARE Public Live Demo: https://care.ukp.informatik.tu-darmstadt.de

Identification Number: 2023.acl-demo.28
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-276599
Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 16 Jul 2024 12:13
Last Modified: 10 Sep 2024 09:22
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27659
PPN: 520534999
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