{"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/sarcasm-sign-interpreting-sarcasm-with","title":"Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation","arxiv_id":"1704.06836","date":"2017-04-22","proceeding":"ACL 2017 7","authors":["Lotem Peled","Roi Reichart"],"abstract":"Sarcasm is a form of speech in which speakers say the opposite of what they\ntruly mean in order to convey a strong sentiment. In other words, \"Sarcasm is\nthe giant chasm between what I say, and the person who doesn't get it.\". In\nthis paper we present the novel task of sarcasm interpretation, defined as the\ngeneration of a non-sarcastic utterance conveying the same message as the\noriginal sarcastic one. We introduce a novel dataset of 3000 sarcastic tweets,\neach interpreted by five human judges. Addressing the task as monolingual\nmachine translation (MT), we experiment with MT algorithms and evaluation\nmeasures. We then present SIGN: an MT based sarcasm interpretation algorithm\nthat targets sentiment words, a defining element of textual sarcasm. We show\nthat while the scores of n-gram based automatic measures are similar for all\ninterpretation models, SIGN's interpretations are scored higher by humans for\nadequacy and sentiment polarity. We conclude with a discussion on future\nresearch directions for our new task.","url_abs":"http://arxiv.org/abs/1704.06836v1","url_pdf":"http://arxiv.org/pdf/1704.06836v1.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":"sarcasm-sign-interpreting-sarcasm-with","repo_url":"https://github.com/Lotemp/SarcasmSIGN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1704.06836","atlas_url":"https://app.syntology.ai/?focus=1704.06836","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}