{"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/emotionlines-an-emotion-corpus-of-multi-party","title":"EmotionLines: An Emotion Corpus of Multi-Party Conversations","arxiv_id":"1802.08379","date":"2018-02-23","proceeding":"LREC 2018 5","authors":["Sheng-Yeh Chen","Chao-Chun Hsu","Chuan-Chun Kuo","Ting-Hao","Huang","Lun-Wei Ku"],"abstract":"Feeling emotion is a critical characteristic to distinguish people from\nmachines. Among all the multi-modal resources for emotion detection, textual\ndatasets are those containing the least additional information in addition to\nsemantics, and hence are adopted widely for testing the developed systems.\nHowever, most of the textual emotional datasets consist of emotion labels of\nonly individual words, sentences or documents, which makes it challenging to\ndiscuss the contextual flow of emotions. In this paper, we introduce\nEmotionLines, the first dataset with emotions labeling on all utterances in\neach dialogue only based on their textual content. Dialogues in EmotionLines\nare collected from Friends TV scripts and private Facebook messenger dialogues.\nThen one of seven emotions, six Ekman's basic emotions plus the neutral\nemotion, is labeled on each utterance by 5 Amazon MTurkers. A total of 29,245\nutterances from 2,000 dialogues are labeled in EmotionLines. We also provide\nseveral strong baselines for emotion detection models on EmotionLines in this\npaper.","url_abs":"http://arxiv.org/abs/1802.08379v2","url_pdf":"http://arxiv.org/pdf/1802.08379v2.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":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"emotionlines","name":"EmotionLines","full_name":"EmotionLines"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1802.08379","atlas_url":"https://app.syntology.ai/?focus=1802.08379","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}