Publications / Publikationen
Universität Paderborn
- 2020
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Alshomary, M., Düsterhus, N., and Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.
RIS: https://ris.uni-paderborn.de/record/7283Alshomary, M., Syed, S., Potthast, M., and Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).
RIS: https://ris.uni-paderborn.de/record/16868Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., and Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).
RIS: https://ris.uni-paderborn.de/record/15820Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020).
RIS: https://ris.uni-paderborn.de/record/15821Chen, W.-F., Syed, S., Stein, B., Hagen, M., and Potthast, M. (2020). Abstractive Snippet Generation. In Proceedings of the the Web Conference 2020.
RIS: https://ris.uni-paderborn.de/record/15826El Baff, R., Wachsmuth, H., Al-Khatib, K., and Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics.
RIS: https://ris.uni-paderborn.de/record/3878Hemsen, P. (2020) How do rating-based compensation systems on crowdworking platforms work? Providing long-term and reputational incentives for expert crowdworkers. Presented at 2nd Crowdworking Symposium “Ability - Motivation - Opportunities for Digital Work”, Paderborn.
Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., and Stein, B. (2020). Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020).
RIS: https://ris.uni-paderborn.de/record/15825Löken, N. (2020). Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work. Dissertation.
RIS: https://ris.uni-paderborn.de/record/15482
DOI: 10.17619/UNIPB/1-854Löken, N., Hemsen, P., Hesse, M., and Nouri, Z. (2020) Platform-independent Reputation and Qualification System for Crowdwork. Presented at 2nd Crowdworking Symposium “Ability - Motivation - Opportunities for Digital Work”, Paderborn.
Nouri, Z., Wachsmuth, H., and Engels, G. (2020). Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics.
RIS: https://ris.uni-paderborn.de/record/3774 - 2019
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Ajjour, Y., Wachsmuth, H., Kiesel, J., Potthast, M., Hagen, M., and Stein, B. (2019). Data Acquisition for Argument Search: The args.me Corpus. In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence (pp. 48-59).
RIS: https://ris.uni-paderborn.de/record/11714Ajjour, Y., Alshomary, M., Wachsmuth, H., and Stein, B. (2019). Modeling Frames in Argumentation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (pp. 2915-2925).
RIS: https://ris.uni-paderborn.de/record/12931Blömer, J., and Löken, N. (2019). Dynamic Searchable Encryption with Access Control. In 12th International Symposium on Foundations and Practice of Security, FPS 2019 (Vol. 12056). Springer.
RIS: https://ris.uni-paderborn.de/record/13557Blömer, J., and Löken, N. (2019). Personal Cross-Platform Reputation. In Security and Trust Management, STM 2019 (Vol. 11738).
RIS: https://ris.uni-paderborn.de/record/13554
DOI: 10.1007/978-3-030-31511-5_9Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., and Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom (pp. 76-82).
RIS: https://ris.uni-paderborn.de/record/13259Potthast, M., Gienapp, L., Euchner, F., Heilenkötter, N., Weidmann, N., Wachsmuth, H., Hagen, M. (2019). Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019) (pp. 1117-1120). ACM.
RIS: https://ris.uni-paderborn.de/record/11709
DOI: 10.1145/3331184.3331327 - 2018
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Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G., Stein, B. (2018). Visualization of the Topic Space of Argument Search Results in args. me. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 60-65).
RIS: https://ris.uni-paderborn.de/record/11711Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., and Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545-2555).
RIS: https://ris.uni-paderborn.de/record/3804Blömer, J., and Löken, N. (n.d.). Cloud Architectures for Searchable Encryption. In Proceedings of the 13th International Conference on Availability, Reliability and Security, ARES 2018 (p. 25:1-25:10). New York, NY, USA: ACM.
RIS: https://ris.uni-paderborn.de/record/2965
DOI: 10.1145/3230833.3230853Chen, W.-F., Wachsmuth, H., Al Khatib, K., and Stein, B. (2018). Learning to Flip the Bias of News Headlines. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 79-88). Association for Computational Linguistics.
RIS: https://ris.uni-paderborn.de/record/11710El Baff, R., Wachsmuth, H., Al Khatib, K., and Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454-464). Association for Computational Linguistics.
RIS: https://ris.uni-paderborn.de/record/11712Habernal, I., Wachsmuth, H., Gurevych, I., and Stein, B. (2018). Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 386-396).
RIS: https://ris.uni-paderborn.de/record/3806Wachsmuth, H., Syed, S., and Stein, B. (2018). Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 241-251).
RIS: https://ris.uni-paderborn.de/record/3821Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., and Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753-3765).
RIS: https://ris.uni-paderborn.de/record/4236 - 2017
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Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., and Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118-128).
RIS: https://ris.uni-paderborn.de/record/3751Al Khatib, K., Wachsmuth, H., Hagen, M., and Stein, B. (2017). Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1362-1368).
RIS: https://ris.uni-paderborn.de/record/3803Kiesel, J., Wachsmuth, H., Al Khatib, K., and Stein, B. (2017). WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 13-16).
RIS: https://ris.uni-paderborn.de/record/3809Wachsmuth, H., Da San Martino, G., Kiesel, D., and Stein, B. (2017). The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2369-2379).
RIS: https://ris.uni-paderborn.de/record/3820Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., and Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250-255).
RIS: https://ris.uni-paderborn.de/record/3883
DOI: 10.18653/v1/P17-2039Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. A., Stein, B. (2017). Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 176-187).
RIS: https://ris.uni-paderborn.de/record/3881Wachsmuth, H., Potthast, M., Al-Khatib, K., Ajjour, Y., Puschmann, J., Qu, J., Stein, B. (2017). Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining (pp. 49-59).
RIS: https://ris.uni-paderborn.de/record/3819Wachsmuth, H., and Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 28:1-28:24.
RIS: https://ris.uni-paderborn.de/record/3882Wachsmuth, H., Stein, B., and Ajjour, Y. (2017). “Page Rank’’’ for Argument Relevance.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1117-1127).
RIS: https://ris.uni-paderborn.de/record/3817
Universität Bielefeld
- 2020
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Abendroth, A., Reimann, M., Diewald, M. and Lükemann, L. (2020). Arbeiten in der Crowd: Perspektiven der Theorie relationaler Ungleichheiten in Arbeitsorganisationen. Industrielle Beziehungen. Zeitschrift für Arbeit, Organisation und Management, 27(2), pp. 160-178.
PUB: https://pub.uni-bielefeld.de/record/2943458
DOI: 10.3224/indbez.v27i2.04Kauffeld, S., and Maier, G. W. (2020). Schöne digitale Arbeitswelt – Chancen, Risiken und Herausforderungen. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO), 51(3), pp. 255-258.
PUB: https://pub.uni-bielefeld.de/record/2946088
DOI: 10.1007/s11612-020-00532-ySchlicher, K., Schulte, J., Reimann, M., and Maier, G.W. (2020) Does crowdwork make you sick? An empirical study on the relation of digital work and health. Presented at 2nd Crowdworking Symposium “Ability - Motivation - Opportunities for Digital Work”, Paderborn.
PUB: https://pub.uni-bielefeld.de/record/2946534Schulte, J., and Maier, G. W. (2020) Exploring common tasks in crowdwork – ingredients for satisfying task design. Presented at the 2nd Crowdworking Symposium "Ability - Motivation - Opportunities for Digital Work", Paderborn.
PUB: https://pub.uni-bielefeld.de/record/2946531Schulte, J., Schlicher, K., and Maier, G. W. (2020). Working Everywhere and Every Time? – Chances and Risks in Crowdworking and Crowdsourcing Work Design. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO), 51(1), pp. 59-69.
PUB: https://pub.uni-bielefeld.de/record/2940034
DOI: 10.1007/s11612-020-00503-3 - 2019
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Abendroth, A., and Diewald, M. (2019). Auswirkungen von Teleheimarbeit auf geschlechtsspezifische Einkommensungleichheiten in Arbeitsorganisationen. Die Bedeutung unterschiedlicher Umsetzungsformen. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 71(1), pp.81-109.
PUB: https://pub.uni-bielefeld.de/record/2935898
DOI: 10.1007/s11577-019-00614-wGiard, N., Hemsen, P., Hesse, M., Löken, N., Nouri, Z., Reddehase, J., Reimann, M., et al. (2019). Technical Report. Interdisziplinäre Befragung von Crowdworkern. Bielefeld: Forschungsschwerpunkt Digitale Zukunft (Universität Bielefeld / Universität Paderborn).
PUB: https://pub.uni-bielefeld.de/record/2936990
DOI: 10.4119/unibi/2936990Hemsen, P., Schulte, J., and Schlicher, K. (2019). Crowdsourcing platforms for paid work: A literature review from a personnel economics and psychology perspective. Presented at the ILERA European Congress 2019 - Perspectives of Employment Relations in Europe, Düsseldorf.
PUB: https://pub.uni-bielefeld.de/record/2940037Maier, G. W. (2019). Change Management für die Einführung digitaler Arbeitswelten. Presented at the AK-Thema Digitalisierung der Arbeitswelt, Arbeitskammer des Saarlandes, Saarbrücken.
PUB: https://pub.uni-bielefeld.de/record/2933989Maier, G. W. (2019). Digitalisierung der Arbeit. Presented at the conference "Der Mensch in der Digitalisierten Welt", Zentrum für Interdisziplinäre Forschung, Bielefeld.
PUB: https://pub.uni-bielefeld.de/record/2933986Maier, G. W., Engels, G., and Steffen, E. (2019). Einleitung. In G. W. Maier, G. Engels, & E. Steffen (Eds.), Springer Reference Psychologie. Handbuch Gestaltung digitaler und vernetzter Arbeitswelten, Berlin: Springer.
PUB: https://pub.uni-bielefeld.de/record/2939146
DOI: 10.1007/978-3-662-52903-4_22-1Schulte, J., and Maier, G. W. (2019). Feels like a good task – The role of affect on task design and satisfaction in crowdwork. Presented at the 1st Crowdworking Symposium "Understanding Digital Labor Markets", Bremen.
PUB: https://pub.uni-bielefeld.de/record/2936598Schulte, J., Schlicher, K., Reimann, M., and Maier, G. W. (2019). Macht Crowdwork krank? Eine Studie zum Zusammenhang von Crowdwork und Gesundheit. Presented at the 11. Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie der Deutschen Gesellschaft für Psychologie, Braunschweig.
PUB: https://pub.uni-bielefeld.de/record/2940036 - 2018
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Abendroth, A., and Reimann, M. (2018). Telework and Work-Family Conflict across Workplaces. Investigating the Implications of Work-Family-Supportive and High-Demand Workplace Cultures. In S. L. Blair & J. Obradovic (Eds.), Contemporary Perspectives in Family Research: Vol. 13. The Work-Family Interface: Spillover, Complications, and Challenges (pp. 323-348). Bingley: Emerald Published.
PUB: https://pub.uni-bielefeld.de/record/2932196Engels, G., and Maier, G. W. (2018). The digital twin of humans in adaptive assistance systems. Presented at the Weizenbaum Symposium 2018, Berlin.
PUB: https://pub.uni-bielefeld.de/record/2920771Feldmann, C., Hemsen, P., and Giard, N. (2018). Crowdworking: Einflüsse der Arbeitsbedingungen auf die Motivation der Crowd Worker. Bielefeld: Forschungsschwerpunkt Digitale Zukunft (Universität Bielefeld / Universität Paderborn).
PUB: https://pub.uni-bielefeld.de/record/2930948
DOI: 10.4119/unibi/2930948Maier G. W., Engels G., and Steffen E. (Eds.) (2018). Handbuch Gestaltung digitaler und vernetzter Arbeitswelten. Berlin: Springer.
PUB: https://pub.uni-bielefeld.de/record/2919122
DOI: 10.1007/978-3-662-52903-4Maier, G. W. (2018). Spannungsfeld Künstliche Intelligenz im Arbeitsleben. Presented at the Schüco Symposium "Zukunft der Arbeit im digitalen Zeitalter", Bielefeld.
PUB: https://pub.uni-bielefeld.de/record/2932498 - 2017
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Maier, G. W. (2017). Schöne neue Arbeitswelt: Veränderte Arbeitsbedingungen und ihr Einfluss auf das Erleben und Verhalten. Presented at the Ringvorlesung "Arbeiten 4.0 - schöne neue Arbeitswelt", Paderborn.
PUB: https://pub.uni-bielefeld.de/record/2908240Mlekus, L., Schlicher, K., and Maier, G. W. (2017). Kompetenzverlust oder Qualifizierungsbedarf – Welche Anforderungen stellt die digitale Arbeitswelt an Beschäftigte aus Produktion und Logistik?. Presented at the 10. Tagung der DGPs-Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie, Dresden.
PUB: https://pub.uni-bielefeld.de/record/2913756