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UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition

dc.contributor.authorSong, H.
dc.contributor.authorBethard, S.
dc.date.accessioned2022-10-24T23:51:23Z
dc.date.available2022-10-24T23:51:23Z
dc.date.issued2022
dc.identifier.citationHyunju Song and Steven Bethard. 2022. UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1608–1612, Seattle, United States. Association for Computational Linguistics.
dc.identifier.isbn9781955917803
dc.identifier.doi10.18653/v1/2022.semeval-1.222
dc.identifier.urihttp://hdl.handle.net/10150/666487
dc.description.abstractThis paper presents the approaches and systems of the UA-KO team for the Korean portion of SemEval-2022 Task 11 on Multilingual Complex Named Entity Recognition. We fine-tuned Korean and multilingual BERT and RoBERTA models, conducted experiments on data augmentation, ensembles, and task-adaptive pretraining. Our final system ranked 8th out of 17 teams with an F1 score of 0.6749 F1. © 2022 Association for Computational Linguistics.
dc.language.isoen
dc.publisherAssociation for Computational Linguistics (ACL)
dc.rightsCopyright © 2022 Association for Computational Linguistics. This is an open access article licensed on a Creative Commons Attribution 4.0 International License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition
dc.typeProceedings
dc.typetext
dc.contributor.departmentUniversity of Arizona
dc.identifier.journalSemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleSemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop
refterms.dateFOA2022-10-24T23:51:23Z


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Copyright © 2022 Association for Computational Linguistics. This is an open access article licensed on a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as Copyright © 2022 Association for Computational Linguistics. This is an open access article licensed on a Creative Commons Attribution 4.0 International License.