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dc.contributor.authorCulnan, J.
dc.contributor.authorRomero Diaz, D.Y.
dc.contributor.authorBethard, S.
dc.date.accessioned2022-10-24T23:51:21Z
dc.date.available2022-10-24T23:51:21Z
dc.date.issued2022
dc.identifier.citationJohn Culnan, Damian Romero Diaz, and Steven Bethard. 2022. Exploring transformers and time lag features for predicting changes in mood over time. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pages 226–231, Seattle, USA. Association for Computational Linguistics.
dc.identifier.isbn9781955917872
dc.identifier.doi10.18653/v1/2022.clpsych-1.21
dc.identifier.urihttp://hdl.handle.net/10150/666482
dc.description.abstractThis paper presents transformer-based models created for the CLPsych 2022 shared task. Using posts from Reddit users over a period of time, we aim to predict changes in mood from post to post. We test models that preserve timeline information through explicit ordering of posts as well as those that do not order posts but preserve features on the length of time between a user’s posts. We find that a model with temporal information may provide slight benefits over the same model without such information, although a RoBERTa transformer model provides enough information to make similar predictions without custom-encoded time information. © 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.titleExploring transformers and time lag features for predicting changes in mood over time
dc.typeProceedings
dc.typetext
dc.contributor.departmentUniversity of Arizona
dc.identifier.journalCLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings
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.journaltitleCLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings
refterms.dateFOA2022-10-24T23:51:21Z


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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.