{"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/multi-task-dialog-act-and-sentiment","title":"Multi-task dialog act and sentiment recognition on Mastodon","arxiv_id":"1807.05013","date":"2018-07-13","proceeding":"COLING 2018 8","authors":["Christophe Cerisara","Somayeh Jafaritazehjani","Adedayo Oluokun","Hoa Le"],"abstract":"Because of license restrictions, it often becomes impossible to strictly\nreproduce most research results on Twitter data already a few months after the\ncreation of the corpus. This situation worsened gradually as time passes and\ntweets become inaccessible. This is a critical issue for reproducible and\naccountable research on social media. We partly solve this challenge by\nannotating a new Twitter-like corpus from an alternative large social medium\nwith licenses that are compatible with reproducible experiments: Mastodon. We\nmanually annotate both dialogues and sentiments on this corpus, and train a\nmulti-task hierarchical recurrent network on joint sentiment and dialog act\nrecognition. We experimentally demonstrate that transfer learning may be\nefficiently achieved between both tasks, and further analyze some specific\ncorrelations between sentiments and dialogues on social media. Both the\nannotated corpus and deep network are released with an open-source license.","url_abs":"http://arxiv.org/abs/1807.05013v1","url_pdf":"http://arxiv.org/pdf/1807.05013v1.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":"multi-task-dialog-act-and-sentiment","repo_url":"https://github.com/cerisara/DialogSentimentMastodon","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.05013","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}