{"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/from-news-to-medical-cross-domain-discourse","title":"From News to Medical: Cross-domain Discourse Segmentation","arxiv_id":"1904.06682","date":"2019-04-14","proceeding":"WS 2019 6","authors":["Elisa Ferracane","Titan Page","Junyi Jessy Li","Katrin Erk"],"abstract":"The first step in discourse analysis involves dividing a text into segments.\nWe annotate the first high-quality small-scale medical corpus in English with\ndiscourse segments and analyze how well news-trained segmenters perform on this\ndomain. While we expectedly find a drop in performance, the nature of the\nsegmentation errors suggests some problems can be addressed earlier in the\npipeline, while others would require expanding the corpus to a trainable size\nto learn the nuances of the medical domain.","url_abs":"http://arxiv.org/abs/1904.06682v1","url_pdf":"http://arxiv.org/pdf/1904.06682v1.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":"from-news-to-medical-cross-domain-discourse","repo_url":"https://github.com/elisaF/news-med-segmentation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"discourse-segmentation","task_name":"Discourse Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1904.06682","atlas_url":"https://app.syntology.ai/?focus=1904.06682","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}