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Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

dc.contributor.authorMoramarco, Francesco
dc.contributor.authorKorfiatis, Alex Papadopoulos
dc.contributor.authorPerera, Mark
dc.contributor.authorJuric, Damir
dc.contributor.authorFlann, Jack
dc.contributor.authorReiter, Ehud
dc.contributor.authorSavkov, Aleksandar
dc.contributor.authorBelz, Anja
dc.contributor.editorMuresan, Smaranda
dc.contributor.editorNakov, Preslav
dc.contributor.editorVillavicencio, Aline
dc.date.accessioned2024-02-07T08:39:57Z
dc.date.available2024-02-07T08:39:57Z
dc.date.issued2022-05-01
dc.identifier216327982
dc.identifier784c0b86-9881-46ce-8c98-1524ac7bad21
dc.identifier85142816625
dc.identifier.citationMoramarco , F , Korfiatis , A P , Perera , M , Juric , D , Flann , J , Reiter , E , Savkov , A & Belz , A 2022 , Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation . in S Muresan , P Nakov & A Villavicencio (eds) , Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . vol. 1 , Association for Computational Linguistics , Dublin , pp. 5739–5754 , ACL 2022 , Dublin , Ireland , 22/05/22 . https://doi.org/10.48550/ARXIV.2204.00447 , https://doi.org/10.18653/v1/2022.acl-long.394en
dc.identifier.citationconferenceen
dc.identifier.isbn978-1-955917-21-6
dc.identifier.otherBibtex: https://doi.org/10.48550/arxiv.2204.00447
dc.identifier.otherORCID: /0000-0002-7548-9504/work/114480913
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/20151
dc.descriptionThe authors would like to thank Rachel Young and Tom Knoll for supporting the team and hiring the evaluators, Vitalii Zhelezniak for his advice on revising the paper, and Kristian Boda for helping to set up the Stanza+Snomed fact-extraction system.en
dc.format.extent16
dc.format.extent2848837
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)en
dc.subjectComputation and Language (cs.CL)en
dc.subjectFOS: Computer and information sciencesen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSupplementary Informationen
dc.subject.lccQA75en
dc.titleHuman Evaluation and Correlation with Automatic Metrics in Consultation Note Generationen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.identifier.doihttps://doi.org/10.48550/ARXIV.2204.00447
dc.identifier.urlhttps://deepai.org/publication/human-evaluation-and-correlation-with-automatic-metrics-in-consultation-note-generationen
dc.identifier.vol1en


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