{"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/a-ccg-parsing-with-a-supertag-and-dependency","title":"A* CCG Parsing with a Supertag and Dependency Factored Model","arxiv_id":"1704.06936","date":"2017-04-23","proceeding":"ACL 2017 7","authors":["Masashi Yoshikawa","Hiroshi Noji","Yuji Matsumoto"],"abstract":"We propose a new A* CCG parsing model in which the probability of a tree is\ndecomposed into factors of CCG categories and its syntactic dependencies both\ndefined on bi-directional LSTMs. Our factored model allows the precomputation\nof all probabilities and runs very efficiently, while modeling sentence\nstructures explicitly via dependencies. Our model achieves the state-of-the-art\nresults on English and Japanese CCG parsing.","url_abs":"http://arxiv.org/abs/1704.06936v1","url_pdf":"http://arxiv.org/pdf/1704.06936v1.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":"a-ccg-parsing-with-a-supertag-and-dependency","repo_url":"https://github.com/masashi-y/depccg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.06936","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}