{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/wnut-2020-task-2-identification-of","title":"WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets","arxiv_id":"2010.08232","date":"2020-10-16","proceeding":"EMNLP (WNUT) 2020 11","authors":["Dat Quoc Nguyen","Thanh Vu","Afshin Rahimi","Mai Hoang Dao","Linh The Nguyen","Long Doan"],"abstract":"In this paper, we provide an overview of the WNUT-2020 shared task on the identification of informative COVID-19 English Tweets. We describe how we construct a corpus of 10K Tweets and organize the development and evaluation phases for this task. In addition, we also present a brief summary of results obtained from the final system evaluation submissions of 55 teams, finding that (i) many systems obtain very high performance, up to 0.91 F1 score, (ii) the majority of the submissions achieve substantially higher results than the baseline fastText (Joulin et al., 2017), and (iii) fine-tuning pre-trained language models on relevant language data followed by supervised training performs well in this task.","url_abs":"https://arxiv.org/abs/2010.08232v1","url_pdf":"https://arxiv.org/pdf/2010.08232v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"wnut-2020-task-2-identification-of","repo_url":"https://github.com/VinAIResearch/COVID19Tweet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"task-2","task_name":"Task 2"},{"task_slug":"text-classification","task_name":"Text Classification"}],"methods":[{"method_slug":"fasttext","method_name":"fastText"}],"datasets_introduced":[{"slug":"wnut-2020-task-2","name":"WNUT-2020 Task 2","full_name":"WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2010.08232","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}