{"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/discontinuous-constituency-parsing-with-a","title":"Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle","arxiv_id":"1904.00615","date":"2019-04-01","proceeding":"NAACL 2019 6","authors":["Maximin Coavoux","Shay B. Cohen"],"abstract":"We introduce a novel transition system for discontinuous constituency\nparsing. Instead of storing subtrees in a stack --i.e. a data structure with\nlinear-time sequential access-- the proposed system uses a set of parsing\nitems, with constant-time random access. This change makes it possible to\nconstruct any discontinuous constituency tree in exactly $4n - 2$ transitions\nfor a sentence of length $n$. At each parsing step, the parser considers every\nitem in the set to be combined with a focus item and to construct a new\nconstituent in a bottom-up fashion. The parsing strategy is based on the\nassumption that most syntactic structures can be parsed incrementally and that\nthe set --the memory of the parser-- remains reasonably small on average.\nMoreover, we introduce a provably correct dynamic oracle for the new transition\nsystem, and present the first experiments in discontinuous constituency parsing\nusing a dynamic oracle. Our parser obtains state-of-the-art results on three\nEnglish and German discontinuous treebanks.","url_abs":"http://arxiv.org/abs/1904.00615v1","url_pdf":"http://arxiv.org/pdf/1904.00615v1.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":"discontinuous-constituency-parsing-with-a","repo_url":"https://gitlab.com/mcoavoux/discoparset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"constituency-parsing","task_name":"Constituency Parsing"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.00615","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}