{"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/monte-carlo-syntax-marginals-for-exploring","title":"Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses","arxiv_id":"1804.06004","date":"2018-04-17","proceeding":"NAACL 2018 6","authors":["Katherine A. Keith","Su Lin Blodgett","Brendan O'Connor"],"abstract":"Dependency parsing research, which has made significant gains in recent\nyears, typically focuses on improving the accuracy of single-tree predictions.\nHowever, ambiguity is inherent to natural language syntax, and communicating\nsuch ambiguity is important for error analysis and better-informed downstream\napplications. In this work, we propose a transition sampling algorithm to\nsample from the full joint distribution of parse trees defined by a\ntransition-based parsing model, and demonstrate the use of the samples in\nprobabilistic dependency analysis. First, we define the new task of dependency\npath prediction, inferring syntactic substructures over part of a sentence, and\nprovide the first analysis of performance on this task. Second, we demonstrate\nthe usefulness of our Monte Carlo syntax marginal method for parser error\nanalysis and calibration. Finally, we use this method to propagate parse\nuncertainty to two downstream information extraction applications: identifying\npersons killed by police and semantic role assignment.","url_abs":"http://arxiv.org/abs/1804.06004v1","url_pdf":"http://arxiv.org/pdf/1804.06004v1.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":"monte-carlo-syntax-marginals-for-exploring","repo_url":"https://github.com/slanglab/transition_sampler","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":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}