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CARE: Collaborative AI-Assisted Reading Environment

Zyska, Dennis ; Dycke, Nils ; Buchmann, Jan ; Kuznetsov, Ilia ; Gurevych, Iryna (2023)
CARE: Collaborative AI-Assisted Reading Environment.
61st Annual Meeting of the Association for Computational Linguistics. Toronto, Canada (10.-12.07.2023)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Zyska, Dennis ; Dycke, Nils ; Buchmann, Jan ; Kuznetsov, Ilia ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: CARE: Collaborative AI-Assisted Reading Environment
Sprache: Englisch
Publikationsjahr: 9 Juli 2023
Verlag: ACL
Buchtitel: The 61st Annual Meeting of the Association for Computational Linguistics: Proceedings of the System Demonstrations
Veranstaltungstitel: 61st Annual Meeting of the Association for Computational Linguistics
Veranstaltungsort: Toronto, Canada
Veranstaltungsdatum: 10.-12.07.2023
URL / URN: https://aclanthology.org/2023.acl-demo.28/
Kurzbeschreibung (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

Freie Schlagworte: UKP_p_PEER, UKP_p_InterText, UKP_p_seditrah_factcheck
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 07 Aug 2023 10:51
Letzte Änderung: 07 Aug 2023 14:59
PPN: 510424333
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