{"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/inducing-a-lexicon-of-abusive-words-a-a","title":"Inducing a Lexicon of Abusive Words – a Feature-Based Approach","arxiv_id":null,"date":"2018-06-01","proceeding":"HLT 2018 6","authors":["Michael Wiegand","Josef Ruppenhofer","Anna Schmidt","Clayton Greenberg"],"abstract":null,"url_abs":"https://aclanthology.org/n18-1095","url_pdf":"https://aclanthology.org/n18-1095.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":"inducing-a-lexicon-of-abusive-words-a-a","repo_url":"https://github.com/miwieg/naacl2018","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"abusive-language","task_name":"Abusive Language"},{"task_slug":"emotion-classification","task_name":"Emotion Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"},{"task_slug":"domain-classification","task_name":"domain classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}