{"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/implicitly-abusive-comparisons-a-new-dataset","title":"Implicitly Abusive Comparisons -- A New Dataset and Linguistic Analysis","arxiv_id":null,"date":"2021-04-01","proceeding":"EACL 2021 2","authors":["Michael Wiegand","Maja Geulig","Josef Ruppenhofer"],"abstract":"We examine the task of detecting implicitly abusive comparisons (e.g. {``}Your hair looks like you have been electrocuted{''}). Implicitly abusive comparisons are abusive comparisons in which abusive words (e.g. {``}dumbass{''} or {``}scum{''}) are absent. We detail the process of creating a novel dataset for this task via crowdsourcing that includes several measures to obtain a sufficiently representative and unbiased set of comparisons. We also present classification experiments that include a range of linguistic features that help us better understand the mechanisms underlying abusive comparisons.","url_abs":"https://aclanthology.org/2021.eacl-main.27","url_pdf":"https://aclanthology.org/2021.eacl-main.27.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":"implicitly-abusive-comparisons-a-new-dataset","repo_url":"https://github.com/miwieg/implicitly_abusive_comparisons","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}