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 (10.07.2023-12.07.2023)
Konferenzveröffentlichung, Bibliographie
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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.
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: | 10.07.2023-12.07.2023 |
URL / URN: | https://aclanthology.org/2023.acl-demo.28/ |
Zugehörige Links: | |
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. |
Freie Schlagworte: | UKP_p_PEER, UKP_p_InterText, UKP_p_seditrah_factcheck |
Zusätzliche Informationen: | Erstveröffentlichung |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
Hinterlegungsdatum: | 07 Aug 2023 10:51 |
Letzte Änderung: | 18 Jul 2024 07:10 |
PPN: | 510424333 |
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Suche nach Titel in: | TUfind oder in Google |
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CARE: Collaborative AI-Assisted Reading Environment. (deposited 16 Jul 2024 12:13)
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