{"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/character-based-joint-segmentation-and-pos","title":"Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF","arxiv_id":"1704.01314","date":"2017-04-05","proceeding":"IJCNLP 2017 11","authors":["Yan Shao","Christian Hardmeier","Jörg Tiedemann","Joakim Nivre"],"abstract":"We present a character-based model for joint segmentation and POS tagging for\nChinese. The bidirectional RNN-CRF architecture for general sequence tagging is\nadapted and applied with novel vector representations of Chinese characters\nthat capture rich contextual information and lower-than-character level\nfeatures. The proposed model is extensively evaluated and compared with a\nstate-of-the-art tagger respectively on CTB5, CTB9 and UD Chinese. The\nexperimental results indicate that our model is accurate and robust across\ndatasets in different sizes, genres and annotation schemes. We obtain\nstate-of-the-art performance on CTB5, achieving 94.38 F1-score for joint\nsegmentation and POS tagging.","url_abs":"http://arxiv.org/abs/1704.01314v3","url_pdf":"http://arxiv.org/pdf/1704.01314v3.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":"character-based-joint-segmentation-and-pos","repo_url":"https://github.com/yanshao9798/tagger","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"pos","task_name":"POS"},{"task_slug":"pos-tagging","task_name":"POS Tagging"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1704.01314","atlas_url":"https://app.syntology.ai/?focus=1704.01314","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}