Show simple item record

NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation

dc.contributor.authorPasricha, Nivranshu
dc.contributor.authorArcan, Mihael
dc.contributor.authorBuitelaar, Paul
dc.date.accessioned2021-02-02T10:18:35Z
dc.date.available2021-02-02T10:18:35Z
dc.date.issued2020-12-18
dc.identifier.citationPasricha, Nivranshu, Arcan, Mihael, & Buitelaar, Paul. (2020). NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation. Paper presented at the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+) Virtual, Dublin, Ireland, 18 December.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/16525
dc.description.abstractThis paper describes the system submitted by NUIG-DSI to the WebNLG+ challenge 2020 in the RDF-to-text generation task for the English language. For this challenge, we leverage transfer learning by adopting the T5 model architecture for our submission and fine-tune the model on the WebNLG+ corpus. Our submission ranks among the top five systems for most of the automatic evaluation metrics achieving a BLEU score of 51.74 over all categories with scores of 58.23 and 45.57 across seen and unseen categories respectively.en_IE
dc.description.sponsorshipThis work was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Artificial Intelligence under Grant No. 18/CRT/6223 and co-supported by Science Foundation Ireland under grant number SFI/12/RC/2289 2 (Insight), co-funded by the European Regional Development Fund.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherAssociation for Computational Linguisticsen_IE
dc.relation.ispartof3rd WebNLG Workshop on Natural Language Generation from the Semantic Web (WebNLG+ 2020)en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectWebNLGen_IE
dc.subjectRDF-to-text generationen_IE
dc.titleNUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generationen_IE
dc.typeWorkshop paperen_IE
dc.date.updated2021-02-01T14:03:15Z
dc.local.publishedsourcehttps://webnlg-challenge.loria.fr/files/2020.webnlg-papers.15.pdfen_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderEuropean Regional Development Funden_IE
dc.internal.rssid24619465
dc.local.contactNivranshu Pasricha, 103 Nlp Unit, , Data Science Institute, , Ida Business Park, , Lower Dangan, Galway. Email: n.pasricha1@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE
nui.item.downloads33


Files in this item

Thumbnail
Name:
license.txt
Size:
5.659Kb
Format:
Text file
View/Open
Thumbnail
Name:
2020.webnlg-papers.15.pdf
Size:
323.6Kb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland