{"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/cross-lingual-rst-discourse-parsing","title":"Cross-lingual RST Discourse Parsing","arxiv_id":"1701.02946","date":"2017-01-11","proceeding":"EACL 2017 4","authors":["Chloé Braud","Maximin Coavoux","Anders Søgaard"],"abstract":"Discourse parsing is an integral part of understanding information flow and\nargumentative structure in documents. Most previous research has focused on\ninducing and evaluating models from the English RST Discourse Treebank.\nHowever, discourse treebanks for other languages exist, including Spanish,\nGerman, Basque, Dutch and Brazilian Portuguese. The treebanks share the same\nunderlying linguistic theory, but differ slightly in the way documents are\nannotated. In this paper, we present (a) a new discourse parser which is\nsimpler, yet competitive (significantly better on 2/3 metrics) to state of the\nart for English, (b) a harmonization of discourse treebanks across languages,\nenabling us to present (c) what to the best of our knowledge are the first\nexperiments on cross-lingual discourse parsing.","url_abs":"http://arxiv.org/abs/1701.02946v1","url_pdf":"http://arxiv.org/pdf/1701.02946v1.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":"cross-lingual-rst-discourse-parsing","repo_url":"https://bitbucket.org/chloebt/discourse","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"discourse-parsing","task_name":"Discourse Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/discourse-parsing-on-rst-dt","task":"Discourse Parsing","dataset":"RST-DT","model":"Transition-Based Parser Trained on Cross-Lingual Corpus","rank_in_archive_order":39,"of":40,"metrics":{"RST-Parseval (Full)":"56.0*","RST-Parseval (Nuclearity)":"68.1*","RST-Parseval (Relation)":"56.3*","RST-Parseval (Span)":"81.3*"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1701.02946","atlas_url":"https://app.syntology.ai/?focus=1701.02946","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}