{"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/arguminsci-a-tool-for-analyzing-argumentation","title":"ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing","arxiv_id":null,"date":"2018-11-01","proceeding":"WS 2018 11","authors":["Anne Lauscher","Goran Glava{\\v{s}}","Kai Eckert"],"abstract":"Argumentation is arguably one of the central features of scientific language. We present \\textit{ArguminSci}, an easy-to-use tool that analyzes argumentation and other rhetorical aspects of scientific writing, which we collectively dub \\textit{scitorics}. The main aspect we focus on is the fine-grained argumentative analysis of scientific text through identification of argument components. The functionality of \\textit{ArguminSci} is accessible via three interfaces: as a command line tool, via a RESTful application programming interface, and as a web application.","url_abs":"https://aclanthology.org/W18-5203","url_pdf":"https://aclanthology.org/W18-5203.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":"arguminsci-a-tool-for-analyzing-argumentation","repo_url":"https://github.com/anlausch/ArguminSci","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"argument-mining","task_name":"Argument Mining"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}