{"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/mitre-at-semeval-2016-task-6-transfer","title":"MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection","arxiv_id":"1606.03784","date":"2016-06-13","proceeding":"SEMEVAL 2016 6","authors":["Guido Zarrella","Amy Marsh"],"abstract":"We describe MITRE's submission to the SemEval-2016 Task 6, Detecting Stance\nin Tweets. This effort achieved the top score in Task A on supervised stance\ndetection, producing an average F1 score of 67.8 when assessing whether a tweet\nauthor was in favor or against a topic. We employed a recurrent neural network\ninitialized with features learned via distant supervision on two large\nunlabeled datasets. We trained embeddings of words and phrases with the\nword2vec skip-gram method, then used those features to learn sentence\nrepresentations via a hashtag prediction auxiliary task. These sentence vectors\nwere then fine-tuned for stance detection on several hundred labeled examples.\nThe result was a high performing system that used transfer learning to maximize\nthe value of the available training data.","url_abs":"http://arxiv.org/abs/1606.03784v1","url_pdf":"http://arxiv.org/pdf/1606.03784v1.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":"mitre-at-semeval-2016-task-6-transfer","repo_url":"https://github.com/DamiFur/Twitter-semeval2016","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"stance-detection","task_name":"Stance Detection"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.03784","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}