{"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/optimal-shift-reduce-constituent-parsing-with","title":"Optimal Shift-Reduce Constituent Parsing with Structured Perceptron","arxiv_id":null,"date":"2015-07-01","proceeding":"IJCNLP 2015 7","authors":["Le Quang Thang","Hiroshi Noji","Yusuke Miyao"],"abstract":"","url_abs":"https://aclanthology.org/P15-1148","url_pdf":"https://aclanthology.org/P15-1148.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":"optimal-shift-reduce-constituent-parsing-with","repo_url":"https://github.com/mynlp/optsr","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"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}