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Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text

dc.contributor.authorThomson, Craig Alexander
dc.contributor.authorZhao, Zhijie
dc.contributor.authorSripada, Somayajulu Gowri
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.date.accessioned2020-12-07T16:14:02Z
dc.date.available2020-12-07T16:14:02Z
dc.date.issued2020-12
dc.descriptionAcknowledgments We would like to thank our reviewers for their insightful feedback and questions. The work presented here is partially funded by the Engineering and Physical Sciences Research Council (EPSRC), which funds Craig Thomson under a National Productivity Investment Fund Doctoral Studentship (EP/R512412/1).en
dc.description.statusPeer revieweden
dc.format.extent6
dc.format.extent198027
dc.identifier182839314
dc.identifier07fa7bc7-36a7-4e85-8519-6a8305535cf3
dc.identifier85097826477
dc.identifier85097826477
dc.identifier.citationThomson, C A, Zhao, Z & Sripada, S G 2020, 'Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text', Paper presented at Proceedings of the 13th International Conference on Natural Language Generation, Dublin, Ireland, 15/12/20 - 18/12/20 pp. 35-40. < https://www.aclweb.org/anthology/2020.inlg-1.6/ >en
dc.identifier.citationconferenceen
dc.identifier.otherORCID: /0000-0002-5428-8383/work/92908240
dc.identifier.urihttps://hdl.handle.net/2164/15468
dc.identifier.urlhttps://www.aclweb.org/anthology/2020.inlg-1.6/en
dc.language.isoeng
dc.relation.ispartofen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/R512412/1en
dc.subject.lccQA75en
dc.titleStudying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Texten
dc.typeConference paperen

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