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Improving Neural Political Statement Classification with Class Hierarchical Information

E. Dayanik, A. Blessing, N. Blokker, S. Haunss, J. Kuhn, G. Lapesa, and S. Pado. Findings of the Association for Computational Linguistics : ACL 2022, page 2367-2382. Stroudsburg, Association for Computational Linguistics, (2022)
DOI: 10.18653/v1/2022.findings-acl.186

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Nico Blokker

Univ. -Prof. Dr. -Ing. Andreas Nicola University of Stuttgart

Jonas Nicodemus University of Stuttgart

Nico Lässig University of Stuttgart

Nico Mader University of Stuttgart

Other publications of authors with the same name

Optimizing text representations to capture (dis)similarity between political partiesT. Ceron, N. Blokker, and S. Padó. (2022)Accepted for publication.An Environment for Relational Annotation of Political DebatesA. Blessing, N. Blokker, S. Haunss, J. Kuhn, G. Lapesa, and S. Pado. 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.N. Blokker, A. Blessing, J. Kuhn, S. Padó, E. Dayanik, and G. Lapesa. (2021)Submitted to Language Resources and Evaluation.Why Justifications of Claims Matter for Understanding Party PositionsN. Blokker, T. Ceron, A. Blessing, E. Dayanik, S. Haunss, J. Kuhn, G. Lapesa, and S. Padó. 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 SetsS. Haunss, J. Kuhn, S. Padó, A. Blessing, N. Blokker, E. Dayanik, and G. Lapesa. Politics and Governance, 8 (2): 326-339 (2020)Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data SetsS. Haunss, J. Kuhn, S. Pado, A. Blessing, N. Blokker, E. Dayanik, and G. Lapesa. Politics and Governance, (2020)Supporting Discourse Network Analysis through Machine Learning for Claim Detection and ClassificationS. Haunss, N. Blokker, S. Pado, J. Kuhn, A. Blessing, G. Lapesa, and E. Dayanik. Proceedings of the 4th European Conference on Social Networks, Zurich, Switzerland, (2019)An Environment for Relational Annotation of Political Debates.A. Blessing, N. Blokker, S. Haunss, J. Kuhn, G. Lapesa, and S. Padó. ACL (3), page 105-110. Association for Computational Linguistics, (2019)Swimming with the Tide? Positional Claim Detection across Political Text TypesN. Blokker, E. Dayanik, G. Lapesa, and S. Padó. Proceedings of the NLP+CSS workshop, page 24--34. Online, (2020)Analysis of Political Debates through Newspaper Reports: Methods and OutcomesG. Lapesa, A. Blessing, N. Blokker, E. Dayanik, S. Haunss, J. Kuhn, and S. Padó. Datenbank-Spektrum, (2020)