{"publication":"Computational Linguistics","date_updated":"2023-10-19T12:08:00Z","department":[{"_id":"34"},{"_id":"820"}],"title":"Argumentation Mining in User-Generated Web Discourse","page":"125-179","user_id":"15504","intvolume":" 43","abstract":[{"lang":"eng","text":"The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task."}],"date_created":"2023-10-19T08:30:44Z","status":"public","type":"journal_article","publication_status":"published","volume":43,"publisher":"MIT Press","publication_identifier":{"issn":["0891-2017","1530-9312"]},"doi":"10.1162/coli_a_00276","language":[{"iso":"eng"}],"_id":"48306","keyword":["Artificial Intelligence","Computer Science Applications","Linguistics and Language","Language and Linguistics"],"citation":{"mla":"Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics, vol. 43, no. 1, MIT Press, 2016, pp. 125–79, doi:10.1162/coli_a_00276.","bibtex":"@article{Habernal_Gurevych_2016, title={Argumentation Mining in User-Generated Web Discourse}, volume={43}, DOI={10.1162/coli_a_00276}, number={1}, journal={Computational Linguistics}, publisher={MIT Press}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016}, pages={125–179} }","apa":"Habernal, I., & Gurevych, I. (2016). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics, 43(1), 125–179. https://doi.org/10.1162/coli_a_00276","ieee":"I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016, doi: 10.1162/coli_a_00276.","short":"I. Habernal, I. Gurevych, Computational Linguistics 43 (2016) 125–179.","chicago":"Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics 43, no. 1 (2016): 125–79. https://doi.org/10.1162/coli_a_00276.","ama":"Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse. Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276"},"issue":"1","author":[{"id":"101881","full_name":"Habernal, Ivan","last_name":"Habernal","first_name":"Ivan"},{"last_name":"Gurevych","full_name":"Gurevych, Iryna","first_name":"Iryna"}],"year":"2016"}