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In this paper, we describe how we equipped\u00a0CAM with a better answer stance detection (i.e., a better detection of which option \u201cwins\u201d a comparison) and with system variants to support non-English requests. As for the improved answer stance detection, we develop RoBERTa-based approaches and experimentally show them to be more effective than previous feature-based and LLM-based stance detectors. As for the multilingualism, in a proof of concept, we compare two approaches to support Russian requests and answers: (1)\u00a0translating the original English CAM\u00a0data and (2)\u00a0using an existing replica of CAM on native Russian data. Comparing the translation-based and the replica-based CAM\u00a0variants in a user study shows that combining their answers seems to be the most promising. For individual questions, the retrieved arguments of the two variants are often different and of quite diverse relevance and quality. As a demonstrator, we deploy a first multilingual CAM\u00a0version that combines translation-based and replica-based outputs for English and Russian and that can easily be extended to further languages.\n\n<\/jats:p>","DOI":"10.1007\/978-3-031-63536-6_19","type":"book-chapter","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T05:01:50Z","timestamp":1721106110000},"page":"317-334","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Extending the\u00a0Comparative Argumentative Machine: Multilingualism and\u00a0Stance Detection"],"prefix":"10.1007","author":[{"given":"Irina","family":"Nikishina","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Bondarenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Zaczek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Onno Lander","family":"Haag","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Hagen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Biemann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Allaway, E., McKeown, K.R.: Zero-shot stance detection: a dataset and model using generalized topic representations. 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