{"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/fast-rhetorical-structure-theory-discourse","title":"Fast Rhetorical Structure Theory Discourse Parsing","arxiv_id":"1505.02425","date":"2015-05-10","proceeding":null,"authors":["Michael Heilman","Kenji Sagae"],"abstract":"In recent years, There has been a variety of research on discourse parsing,\nparticularly RST discourse parsing. Most of the recent work on RST parsing has\nfocused on implementing new types of features or learning algorithms in order\nto improve accuracy, with relatively little focus on efficiency, robustness, or\npractical use. Also, most implementations are not widely available. Here, we\ndescribe an RST segmentation and parsing system that adapts models and feature\nsets from various previous work, as described below. Its accuracy is near\nstate-of-the-art, and it was developed to be fast, robust, and practical. For\nexample, it can process short documents such as news articles or essays in less\nthan a second.","url_abs":"http://arxiv.org/abs/1505.02425v1","url_pdf":"http://arxiv.org/pdf/1505.02425v1.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":"fast-rhetorical-structure-theory-discourse","repo_url":"https://github.com/EducationalTestingService/discourse-parsing","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-rhetorical-structure-theory-discourse","repo_url":"https://github.com/EducationalTestingService/rstfinder","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-rhetorical-structure-theory-discourse","repo_url":"https://github.com/arne-cl/rst-workbench","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-rhetorical-structure-theory-discourse","repo_url":"https://github.com/rst-workbench/rst-workbench","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"discourse-parsing","task_name":"Discourse Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1505.02425","atlas_url":"https://app.syntology.ai/?focus=1505.02425","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}