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Text Analysis Pipelines - Towards Ad-hoc Large-Scale Text Mining. Lecture Notes in Computer Science Springer, (2015)Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation, , , , и . стр. 65--84. (2023)Mining, Assessing, and Improving Arguments in NLP and the Social Sciences, , , и . Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), (мая 2023)Funding Information: Gabriella Lapesa and Eva Maria Vecchi are funded by the Bundesministerium für Bildung und Forschung (BMBF), project E-DELIB (Powering up E-deliberation: towards AI-supported moderation). Serena Villata is supported by the French government, through the 3IA Côte d’Azur Investments in the Future project managed by the ANR with the reference number ANR-19-P3IA-0002.; 17th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2023 ; Conference date: 02-05-2023 Through 04-05-2023.Wikipedia Text Reuse: Within and Without., , , , , , и . CoRR, (2018)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Modeling the Quality of Dialogical Explanations., , , , , и . CoRR, (2024)Identifying Feedback Types to Augment Feedback Comment Generation., и . INLG (Generation Challenges), стр. 31-36. Association for Computational Linguistics, (2023)Modeling Frames in Argumentation., , , и . EMNLP/IJCNLP (1), стр. 2922-2932. Association for Computational Linguistics, (2019)Modeling Appropriate Language in Argumentation., , , , и . ACL (1), стр. 4344-4363. Association for Computational Linguistics, (2023)Counter-Argument Generation by Attacking Weak Premises., , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 1816-1827. Association for Computational Linguistics, (2021)