M. Alshomary, and M. Stahl. Proceedings of the 9th Workshop on Argument Mining, page 111–114. International Conference on Computational Linguistics, (2022)
G. Skitalinskaya, M. Spliethöver, and H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference, page 134--152. (2023)DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions..
M. Alshomary, and H. Wachsmuth. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, page 957--967. Association for Computational Linguistics (ACL), (2023)Funding Information: This work was funded by the Deutsche Forschungs-gemeinschaft (DFG, German Research Foundation): TRR 318/1 2021 - 438445824. We would also like to thank the reviewers and the participants who took part anonymously in our user study.; 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 ; Conference date: 02-05-2023 Through 06-05-2023.
S. Syed, T. Ziegenbein, P. Heinisch, H. Wachsmuth, and M. Potthast. Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue, page 114--129. Prague, Czechia, Association for Computational Linguistics, (September 2023)
M. Stahl, and H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges, page 31--36. (September 2023)
G. Lapesa, {. Vecchi, S. Villata, and H. Wachsmuth. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), (May 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.
T. Ziegenbein, S. Syed, F. Lange, M. Potthast, and H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, page 4344--4363. Association for Computational Linguistics (ACL), (July 2023)Funding Information: This project has been partially funded by the German Research Foundation (DFG) within the project OASiS, project number 455913891, as part of the Priority Program “Robust Argumentation Machines (RATIO)” (SPP-1999). We would like to thank the participants of our study and the anonymous reviewers for the feedback and their time.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
M. Sengupta. Findings of the Association for Computational Linguistics: EMNLP 2023, page 4636–4659. Association for Computational Linguistics (ACL), (December 2023)
M. Spliethöver, M. Keiff, and H. Wachsmuth. Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, (2022)
A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth and 2 other author(s). CEUR Workshop Proceedings, (2022)Funding Information: This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) through the projects “ACQuA 2.0” (Answering Comparative Questions with Arguments; project number 376430233) and “OASiS” (Objective Argument Summarization in Search; project number 455913891) as part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “SharKI” (Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities; grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library and Erik Reuter for expanding a document collection for Task 2 with docT5query.; 2022 Conference and Labs of the Evaluation Forum, CLEF 2022 ; Conference date: 05-09-2022 Through 08-09-2022.