{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T16:48:34Z","timestamp":1764175714398,"version":"3.27.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685489","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,16]]},"abstract":"<jats:p>Argument schemes represent stereotypical patterns of reasoning that capture the inferences from premise(s) to conclusion. Despite their usefulness in argument mining, argument scheme classification remains a largely understudied task in NLP. In this paper, we present EthiX, a novel dataset for classifying argument schemes, comprising arguments spanning 22 ethical topics which are manually annotated with argument schemes following Walton\u2019s taxonomy. We evaluate pre-trained models fine-tuned on our dataset and propose a baseline to the community.<\/jats:p>","DOI":"10.3233\/faia240919","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T13:41:57Z","timestamp":1729172517000},"source":"Crossref","is-referenced-by-count":1,"title":["EthiX: A Dataset for Argument Scheme Classification in Ethical Debates"],"prefix":"10.3233","author":[{"given":"Elfia","family":"Bezou-Vrakatseli","sequence":"first","affiliation":[{"name":"King\u2019s College London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oana","family":"Cocarascu","sequence":"additional","affiliation":[{"name":"King\u2019s College London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjay","family":"Modgil","sequence":"additional","affiliation":[{"name":"King\u2019s College London"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240919","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T13:41:58Z","timestamp":1729172518000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240919"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"ISBN":["9781643685489"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240919","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,16]]}}}