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Controllable Text Generation for All Ages : Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue

dc.contributor.authorJansen, Lennert
dc.contributor.authorLaichter, Štěpán Lars
dc.contributor.authorSinclair, Arabella
dc.contributor.authorvan der Goot, Margot J.
dc.contributor.authorFernández, Raquel
dc.contributor.authorPezzelle, Sandro
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-09-13T13:01:01Z
dc.date.available2023-09-13T13:01:01Z
dc.date.issued2022-12-08
dc.descriptionFunding Information: We would like to thank the four anonymous GEM reviewers for their valuable feedback and the participants of our crowdsourcing experiments. The work received funding from the University of Amsterdam’s Research Priority Area Human(e) AI and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 819455).en
dc.format.extent17
dc.format.extent2060783
dc.identifier246104523
dc.identifier62c7e2a8-c513-4c0f-8375-abd2bae90f94
dc.identifier85152890180
dc.identifier.citationJansen, L, Laichter, Š L, Sinclair, A, van der Goot, M J, Fernández, R & Pezzelle, S 2022, Controllable Text Generation for All Ages : Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue. in Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM). ACL Anthology, Association for Computational Linguistics (ACL), pp. 172-188, 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, GEM 2022, as part of EMNLP 2022, Abu Dhabi, United Arab Emirates, 7/12/22. https://doi.org/10.18653/v1/2022.gem-1.14en
dc.identifier.citationconferenceen
dc.identifier.doi10.18653/v1/2022.gem-1.14
dc.identifier.isbn9781959429128
dc.identifier.urihttps://hdl.handle.net/2164/21664
dc.identifier.urlhttps://www.scopus.com/pages/publications/85152890180en
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics (ACL)
dc.relation.ispartofProceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)en
dc.relation.ispartofseriesACL Anthologyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectComputational Theory and Mathematicsen
dc.subjectComputer Science Applicationsen
dc.subjectInformation Systemsen
dc.subjectEuropean Research Councilen
dc.subject819455en
dc.subjectEU Horizon 2020en
dc.subject.lccQA75en
dc.titleControllable Text Generation for All Ages : Evaluating a Plug-and-Play Approach to Age-Adapted Dialogueen
dc.typeConference itemen

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