{"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/tackling-error-propagation-through","title":"Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing","arxiv_id":"1702.06794","date":"2017-02-22","proceeding":"EACL 2017 4","authors":["Minh Le","Antske Fokkens"],"abstract":"Error propagation is a common problem in NLP. Reinforcement learning explores\nerroneous states during training and can therefore be more robust when mistakes\nare made early in a process. In this paper, we apply reinforcement learning to\ngreedy dependency parsing which is known to suffer from error propagation.\nReinforcement learning improves accuracy of both labeled and unlabeled\ndependencies of the Stanford Neural Dependency Parser, a high performance\ngreedy parser, while maintaining its efficiency. We investigate the portion of\nerrors which are the result of error propagation and confirm that reinforcement\nlearning reduces the occurrence of error propagation.","url_abs":"http://arxiv.org/abs/1702.06794v1","url_pdf":"http://arxiv.org/pdf/1702.06794v1.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":"tackling-error-propagation-through","repo_url":"https://bitbucket.org/cltl/redep-java","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1702.06794","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}