A. Mohan, C. Benjamins, K. Wienecke, A. Dockhorn, and M. Lindauer. The 16th European Workshop on Reinforcement Learning (EWRL 2023), (Sep 15, 2023)European Workshop on Reinforcement Learning 2023 ; Conference date: 13-09-2023 Through 16-09-2023.
M. Zoeller, F. Mauthe, P. Zeiler, M. Lindauer, and M. Huber. Proceedings of the international conference on Systems Science and Engineering, Human-Machine Systems, and Cybernetics (IEEE SMC), IEEE Xplore Digital Library, (2023)
D. Theodorakopoulos, C. Manß, F. Stahl, and M. Lindauer. Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning, (April 2023)We thank Wolf et al. (2020) for the insights, and access to the data and the system. Marius Lindauer was supported by the German Federal Ministry of the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (GreenAutoML4FAS project no. 67KI32007A). The DFKI Niedersachsen (DFKI NI) is funded in the ”zukunft.niedersachsen” by the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation (funding no. ZM3480)..
C. Benjamins, E. Raponi, A. Jankovic, C. Doerr, and M. Lindauer. GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation (SIGEVO), (2023)
B. Bischl, M. Binder, M. Lang, T. Pielok, J. Richter, S. Coors, J. Thomas, T. Ullmann, M. Becker, A. Boulesteix and 2 other author(s). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, (Mar 10, 2023)Funding Information: Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology, Grant/Award Number: BAYERN DIGITAL II; Bundesministerium für Bildung und Forschung, Grant/Award Number: 01IS18036A; Deutsche Forschungsgemeinschaft (Collaborative Research Center), Grant/Award Number: SFB 876‐A3; Federal Statistical Office of Germany; Research Center “Trustworthy Data Science and Security” Funding information Funding Information: The authors of this work take full responsibilities for its content. This work was supported by the Federal Statistical Office of Germany; the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876, A3; the Research Center “Trustworthy Data Science and Security”, one of the Research Alliance centers within the https://uaruhr.de ; the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A; and the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics‐Data‐Applications (ADA‐Center) within the framework of “BAYERN DIGITAL II.”.
F. Neutatz, M. Lindauer, and Z. Abedjan. VLDB Journal, (Nov 17, 2023)DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ 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..
B. Denkena, M. Dittrich, H. Noske, D. Lange, C. Benjamins, and M. Lindauer. International Journal of Advanced Manufacturing Technology, 127 (3-4):
1143--1164(July 2023)Funding Information: Open Access funding enabled and organized by Projekt DEAL. Funded by the Lower Saxony Ministry of Science and Culture under grant number ZN3489 within the Lower Saxony “Vorab” of the Volkswagen Foundation, Germany, supported by the Center for Digital Innovations (ZDIN), Germany. Carolin Benjamins and Marius Lindauer acknowledge support by European Union under the ERC Starting Grant “ixAutoML” (grant no. 101041029). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the ERC can be held responsible for them..
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.
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. Skitalinskaya, and H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 15799–15816. Association for Computational Linguistics (ACL), (July 2023)Funding Information: We thank Andreas Breiter for his valuable feedback on early drafts, and the anonymous reviewers for their helpful comments. This work was partially funded by the Deutsche Forschungsgemeinschaft(DFG, German Research Foundation) under project number 374666841, SFB 1342.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
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. Sengupta. Findings of the Association for Computational Linguistics: EMNLP 2023, page 4636–4659. Association for Computational Linguistics (ACL), (December 2023)
Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth. IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces, page 737–749. United States, Association for Computing Machinery (ACM), (Mar 27, 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.
G. Faggioli, {. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, H. Wachsmuth and 1 other author(s). ICTIR '23, page 39--50. Association for Computing Machinery, Inc, (Aug 9, 2023)Funding Information: This material is based upon work supported by the National Science Foundation under Grant No. 1846017. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ; 9th ACM SIGIR International Conference on the Theory of Information Retrieval : ICTIR 2023 ; Conference date: 23-07-2023 Through 23-07-2023.
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.
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). Advances in Information Retrieval, page 339--346. Germany, Springer Science and Business Media Deutschland GmbH, (Apr 5, 2022)Funding Information: Acknowledgments. This work was partially supported by the Deutsche Forschungs-gemeinschaft (DFG) through the projects “ACQuA” and “ACQuA 2.0” (Answering Comparative Questions with Arguments; grants HA 5851/2-1, HA 5851/2-2, BI 1544/7-1, BI 1544/7-2) and “OASiS: Objective Argument Summarization in Search” (grant WA 4591/3-1), all part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities (SharKI)” (grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library.; 44th European Conference on Information Retrieval, ECIR 2022 ; Conference date: 10-04-2022 Through 14-04-2022.
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.