{"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/automatic-mapping-of-french-discourse","title":"Automatic Mapping of French Discourse Connectives to PDTB Discourse Relations","arxiv_id":"1706.09856","date":"2017-06-29","proceeding":"WS 2017 8","authors":["Majid Laali","Leila Kosseim"],"abstract":"In this paper, we present an approach to exploit phrase tables generated by\nstatistical machine translation in order to map French discourse connectives to\ndiscourse relations. Using this approach, we created ConcoLeDisCo, a lexicon of\nFrench discourse connectives and their PDTB relations. When evaluated against\nLEXCONN, ConcoLeDisCo achieves a recall of 0.81 and an Average Precision of\n0.68 for the Concession and Condition relations.","url_abs":"http://arxiv.org/abs/1706.09856v1","url_pdf":"http://arxiv.org/pdf/1706.09856v1.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":"automatic-mapping-of-french-discourse","repo_url":"https://github.com/mjlaali/ConcoLeDisCo","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}