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Der Campus im Frühling.

Foto: Universität Paderborn, Kamil Glabica.

Publications / Publikationen

Universität Paderborn

2020

Al-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).
PUB: https://ris.uni-paderborn.de/record/15820

Bondarenko, 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).
PUB: https://ris.uni-paderborn.de/record/15821

Chen, W.-F., Syed,  Shahbaz , Stein, B., Hagen, M., and Potthast, M. (2020). Abstractive Snippet Generation. In Proceedings of the the Web Conference 2020.
PUB: https://ris.uni-paderborn.de/record/15826

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).
PUB: https://ris.uni-paderborn.de/record/15825

Löken, N. (2020). Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work. Dissertation.
PUB: https://ris.uni-paderborn.de/record/15482
DOI: 10.17619/UNIPB/1-854

2019

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/11714

Ajjour, 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/12931

Blömer, 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/13557

Blömer, 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_9

Chen, 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/13259

Potthast, 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

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/11711

Al 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/3804

Blömer, 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: 10.1145/3230833.3230853

Chen, 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/11710

El 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/11712

Habernal, 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/3806

Wachsmuth, 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/3821

Wachsmuth, 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

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/3751

Al 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/3803

Kiesel, 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/3809

Wachsmuth, 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/3820

Wachsmuth, 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/P17-2039

Wachsmuth, 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/3881

Wachsmuth, 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/3819

Wachsmuth, 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/3882

Wachsmuth, 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

Schulte, 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

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-w

Giard, 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/2936990

Hemsen, 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/2940037

Maier, 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/2933989

Maier, 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/2933986

Maier, 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_22-1

Schulte, 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/2936598

Schulte, 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

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/2932196

Engels, 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/2920771

Feldmann, 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/2930948

Maier 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: 10.1007/978-3-662-52903-4

Maier, 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

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/2908240

Mlekus, 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

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