{"title":"Approaching SMM4H with auto-regressive language models and back-translation","authors":"Joseph Cornelius, Tilia Ellendorff, Fabio Rinaldi","doi":"10.18653/V1/2021.SMM4H-1.32","DOIUrl":"https://doi.org/10.18653/V1/2021.SMM4H-1.32","url":null,"abstract":"We describe our submissions to the 6th edition of the Social Media Mining for Health Applications (SMM4H) shared task. Our team (OGNLP) participated in the sub-task: Classification of tweets self-reporting potential cases of COVID-19 (Task 5). For our submissions, we employed systems based on auto-regressive transformer models (XLNet) and back-translation for balancing the dataset.","PeriodicalId":378985,"journal":{"name":"Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127701732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}