{"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/scientific-article-summarization-using","title":"Scientific Article Summarization Using Citation-Context and Article's Discourse Structure","arxiv_id":"1704.06619","date":"2017-04-21","proceeding":"EMNLP 2015 9","authors":["Arman Cohan","Nazli Goharian"],"abstract":"We propose a summarization approach for scientific articles which takes\nadvantage of citation-context and the document discourse model. While citations\nhave been previously used in generating scientific summaries, they lack the\nrelated context from the referenced article and therefore do not accurately\nreflect the article's content. Our method overcomes the problem of\ninconsistency between the citation summary and the article's content by\nproviding context for each citation. We also leverage the inherent scientific\narticle's discourse for producing better summaries. We show that our proposed\nmethod effectively improves over existing summarization approaches (greater\nthan 30% improvement over the best performing baseline) in terms of\n\\textsc{Rouge} scores on TAC2014 scientific summarization dataset. While the\ndataset we use for evaluation is in the biomedical domain, most of our\napproaches are general and therefore adaptable to other domains.","url_abs":"http://arxiv.org/abs/1704.06619v1","url_pdf":"http://arxiv.org/pdf/1704.06619v1.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":"scientific-article-summarization-using","repo_url":"https://github.com/acohan/scientific-summ","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.06619","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}