Transfer Learning Models for Health-Related Twitter Data

These models were created for the Shared Tasks of the Social Media for Health Research and Applications Workshop at ACL 2019. For more detail on the tasks see: https://healthlanguageprocessing.org/smm4h/challenge/ They were all based on first fine-tuning pre-trained language models using transfer learning methods and then training these models to perform the task at hand. For more details on the methodology please see our paper: Dirkson, A.R. & Verberne, S. Transfer Learning for Health-Related Twitter Data. Proceedings of the ACL 2019 SMM4H workshop. Pre-print available at: http://liacs.leidenuniv.nl/~dirksonar/wp-content/uploads/2019/07/SharedTasksSMM4H2019_TMRLeiden_Preprint.pdf本模型系列系为ACL 2019年社交健康研究与应用研讨会（Social Media for Health Research and Applications Workshop at ACL 2019）的联合任务所创建。有关任务的详细信息，请参阅：https://healthlanguageprocessing.org/smm4h/challenge/。这些模型均基于预训练语言模型的微调，并采用迁移学习方法进行训练，以完成指定任务。欲了解更多关于方法论的信息，请参阅我们的论文：Dirkson, A.R. & Verberne, S. 迁移学习在健康相关Twitter数据中的应用。ACL 2019 SMM4H研讨会论文集。预印本可在以下链接获取：http://liacs.leidenuniv.nl/~dirksonar/wp-content/uploads/2019/07/SharedTasksSMM4H2019_TMRLeiden_Preprint.pdf。