{"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/but-fit-at-semeval-2019-task-7-determining","title":"BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers","arxiv_id":"1902.10126","date":"2019-02-25","proceeding":"SEMEVAL 2019 6","authors":["Martin Fajcik","Lukáš Burget","Pavel Smrz"],"abstract":"This paper describes our system submitted to SemEval 2019 Task 7: RumourEval\n2019: Determining Rumour Veracity and Support for Rumours, Subtask A (Gorrell\net al., 2019). The challenge focused on classifying whether posts from Twitter\nand Reddit support, deny, query, or comment a hidden rumour, truthfulness of\nwhich is the topic of an underlying discussion thread. We formulate the problem\nas a stance classification, determining the rumour stance of a post with\nrespect to the previous thread post and the source thread post. The recent BERT\narchitecture was employed to build an end-to-end system which has reached the\nF1 score of 61.67% on the provided test data. It finished at the 2nd place in\nthe competition, without any hand-crafted features, only 0.2% behind the\nwinner.","url_abs":"http://arxiv.org/abs/1902.10126v2","url_pdf":"http://arxiv.org/pdf/1902.10126v2.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":"but-fit-at-semeval-2019-task-7-determining","repo_url":"https://github.com/MFajcik/RumourEval2019","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"rumour-detection","task_name":"Rumour Detection"},{"task_slug":"stance-classification","task_name":"Stance Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1902.10126","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}