{"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/twitter-part-of-speech-tagging-for-all","title":"Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data","arxiv_id":null,"date":"2013-09-01","proceeding":"RANLP 2013 9","authors":["Leon Derczynski","Alan Ritter","Sam Clark","Kalina Bontcheva"],"abstract":"","url_abs":"https://aclanthology.org/R13-1026","url_pdf":"https://aclanthology.org/R13-1026.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":[{"task_slug":"all","task_name":"All"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"part-of-speech-tagging","task_name":"Part-Of-Speech Tagging"}],"methods":[],"datasets_introduced":[{"slug":"twitter-pos-vcb","name":"Twitter PoS VCB","full_name":"Twitter part-of-speech vote-constrained-bootstrapping"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/part-of-speech-tagging-on-social-media","task":"Part-Of-Speech Tagging","dataset":"Social media","model":"GATE","rank_in_archive_order":3,"of":3,"metrics":{"Accuracy":"88.69"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}