{"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/universal-dependency-parsing-with-a-general","title":"Universal Dependency Parsing with a General Transition-Based DAG Parser","arxiv_id":"1808.09354","date":"2018-08-28","proceeding":"CONLL 2018 10","authors":["Daniel Hershcovich","Omri Abend","Ari Rappoport"],"abstract":"This paper presents our experiments with applying TUPA to the CoNLL 2018 UD\nshared task. TUPA is a general neural transition-based DAG parser, which we use\nto present the first experiments on recovering enhanced dependencies as part of\nthe general parsing task. TUPA was designed for parsing UCCA, a\ncross-linguistic semantic annotation scheme, exhibiting reentrancy,\ndiscontinuity and non-terminal nodes. By converting UD trees and graphs to a\nUCCA-like DAG format, we train TUPA almost without modification on the UD\nparsing task. The generic nature of our approach lends itself naturally to\nmultitask learning. Our code is available at\nhttps://github.com/CoNLL-UD-2018/HUJI","url_abs":"http://arxiv.org/abs/1808.09354v1","url_pdf":"http://arxiv.org/pdf/1808.09354v1.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":"universal-dependency-parsing-with-a-general","repo_url":"https://github.com/CoNLL-UD-2018/HUJI","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}