{"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/towards-jointud-part-of-speech-tagging-and","title":"Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks","arxiv_id":"1809.03211","date":"2018-09-10","proceeding":"CONLL 2018 10","authors":["Gor Arakelyan","Karen Hambardzumyan","Hrant Khachatrian"],"abstract":"This paper describes our submission to CoNLL 2018 UD Shared Task. We have\nextended an LSTM-based neural network designed for sequence tagging to\nadditionally generate character-level sequences. The network was jointly\ntrained to produce lemmas, part-of-speech tags and morphological features.\nSentence segmentation, tokenization and dependency parsing were handled by\nUDPipe 1.2 baseline. The results demonstrate the viability of the proposed\nmultitask architecture, although its performance still remains far from\nstate-of-the-art.","url_abs":"http://arxiv.org/abs/1809.03211v1","url_pdf":"http://arxiv.org/pdf/1809.03211v1.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":"towards-jointud-part-of-speech-tagging-and","repo_url":"https://github.com/YerevaNN/JointUD","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"lemmatization","task_name":"Lemmatization"},{"task_slug":"part-of-speech-tagging","task_name":"Part-Of-Speech Tagging"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-segmentation","task_name":"Sentence segmentation"}],"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}