{"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/targer-neural-argument-mining-at-your","title":"TARGER: Neural Argument Mining at Your Fingertips","arxiv_id":null,"date":"2019-07-01","proceeding":"ACL 2019 7","authors":["Artem Chernodub","Oleksiy Oliynyk","Philipp Heidenreich","Alex Bondarenko","Matthias Hagen","Chris Biemann","Alex Panchenko","er"],"abstract":"We present TARGER, an open source neural argument mining framework for tagging arguments in free input texts and for keyword-based retrieval of arguments from an argument-tagged web-scale corpus. The currently available models are pre-trained on three recent argument mining datasets and enable the use of neural argument mining without any reproducibility effort on the user{'}s side. The open source code ensures portability to other domains and use cases.","url_abs":"https://aclanthology.org/P19-3031","url_pdf":"https://aclanthology.org/P19-3031.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":"targer-neural-argument-mining-at-your","repo_url":"https://github.com/achernodub/targer","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"argument-mining","task_name":"Argument Mining"},{"task_slug":"retrieval","task_name":"Retrieval"}],"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}