CARE: Collaborative AI-Assisted Reading Environment

Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych

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/CAREPublic Live Demo: https://care.ukp.informatik.tu-darmstadt.de
Anthology ID:
2023.acl-demo.28
Original:
2023.acl-demo.28v1
Version 2:
2023.acl-demo.28v2
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:
291–303
Language:
URL:
https://aclanthology.org/2023.acl-demo.28
DOI:
10.18653/v1/2023.acl-demo.28
Bibkey:
Cite (ACL):
Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, and Iryna Gurevych. 2023. CARE: Collaborative AI-Assisted Reading Environment. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 291–303, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
CARE: Collaborative AI-Assisted Reading Environment (Zyska et al., ACL 2023)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/2023.acl-demo.28.pdf
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