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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. Padó. ACL (Findings), page 2367-2382. Association for Computational Linguistics, (2022)

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Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing.E. Dayanik, and S. Padó. WASSA@EACL, page 50-61. Association for Computational Linguistics, (2021)Between welcome culture and border fence.N. Blokker, A. Blessing, E. Dayanik, J. Kuhn, S. Padó, and G. Lapesa. Lang. Resour. Evaluation, 57 (1): 121-153 (March 2023)Masking Actor Information Leads to Fairer Political Claims Detection.E. Dayanik, and S. Padó. ACL, page 4385-4391. Association for Computational Linguistics, (2020)Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification.E. Dayanik, A. Blessing, N. Blokker, S. Haunss, J. Kuhn, G. Lapesa, and S. Padó. SPNLP@ACL-IJCNLP, page 53-60. Association for Computational Linguistics, (2021)DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time.G. Lapesa, A. Blessing, N. Blokker, E. Dayanik, S. Haunss, J. Kuhn, and S. Padó. LREC, page 919-927. European Language Resources Association, (2020)Improving Neural Political Statement Classification with Class Hierarchical Information.E. Dayanik, A. Blessing, N. Blokker, S. Haunss, J. Kuhn, G. Lapesa, and S. Padó. ACL (Findings), page 2367-2382. Association for Computational Linguistics, (2022)Morphological Analysis Using a Sequence Decoder.E. Akyürek, E. Dayanik, and D. Yuret. Trans. Assoc. Comput. Linguistics, (2019)Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports.N. Blokker, A. Blessing, E. Dayanik, J. Kuhn, S. Padó, and G. Lapesa. CoRR, (2021)Analysis of Political Debates through Newspaper Reports: Methods and Outcomes.G. Lapesa, A. Blessing, N. Blokker, E. Dayanik, S. Haunss, J. Kuhn, and S. Padó. Datenbank-Spektrum, 20 (2): 143-153 (2020)Challenges of computational social science analysis with NLP methods.E. Dayanik. University of Stuttgart, Germany, (2022)

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Improving Neural Political Statement Classification with Class Hierarchical Information.

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Disambiguation of "Dayanik, Erenay"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving Neural Political Statement Classification with Class Hierarchical Information.

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Improving Neural Political Statement Classification with Class Hierarchical Information.