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Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing., и . WASSA@EACL, стр. 50-61. Association for Computational Linguistics, (2021)Between welcome culture and border fence., , , , , и . Lang. Resour. Evaluation, 57 (1): 121-153 (марта 2023)Masking Actor Information Leads to Fairer Political Claims Detection., и . ACL, стр. 4385-4391. Association for Computational Linguistics, (2020)Challenges of computational social science analysis with NLP methods.. University of Stuttgart, Germany, (2022)Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT., , и . SemEval@NAACL-HLT, стр. 1007-1011. Association for Computational Linguistics, (2019)Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates., , , , , и . ACL (1), стр. 2841-2847. Association for Computational Linguistics, (2019)Improving Neural Political Statement Classification with Class Hierarchical Information., , , , , , и . ACL (Findings), стр. 2367-2382. Association for Computational Linguistics, (2022)DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time., , , , , , и . LREC, стр. 919-927. European Language Resources Association, (2020)Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification., , , , , , и . SPNLP@ACL-IJCNLP, стр. 53-60. Association for Computational Linguistics, (2021)