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Swimming with the Tide? Positional Claim Detection across Political Text Types

, , , and . Proceedings of the NLP+CSS workshop, page 24--34. Online, (2020)

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Optimizing text representations to capture (dis)similarity between political parties, , and . (2022)Accepted for publication.An Environment for Relational Annotation of Political Debates, , , , , and . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics : System Demonstrations, page 105-110. Association for Computational Linguistics, (2019)Between welcome culture and border fence: The European refugee crisis in German newspaper reports., , , , , and . (2021)Submitted to Language Resources and Evaluation.Why Justifications of Claims Matter for Understanding Party Positions, , , , , , , and . Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis, (2022)Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets, , , , , , and . Politics and Governance, 8 (2): 326-339 (2020)Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets, , , , , , and . Politics and Governance, (2020)Supporting Discourse Network Analysis through Machine Learning for Claim Detection and Classification, , , , , , and . Proceedings of the 4th European Conference on Social Networks, Zurich, Switzerland, (2019)Analysis of Political Debates through Newspaper Reports: Methods and Outcomes, , , , , , and . Datenbank-Spektrum, (2020)Who Sides With Whom? Towards Computational Construction of Discourse Networks for Political Debates, , , , , and . The 57th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference, page 2841-2847. Stroudsburg, PA, Association for Computational Linguistics, (2019)An Environment for Relational Annotation of Political Debates., , , , , and . ACL (3), page 105-110. Association for Computational Linguistics, (2019)