2021

Solans, David ; Tauchmann, Christopher ; Kappler, Karolin Eva ; Castillo, Carlos ; Huber, Hans-Hendrik ; Farrell, Aideen ; Kersting, Kristian (2021):
Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention.
In: 15th International AAAI Conference on Web and Social Media (ICWSM 2021), [Online-Edition: https://arxiv.org/pdf/1910.12591.pdf],
[Konferenzveröffentlichung]

2020

Tauchmann, Christopher ; Mieskes, Margot (2020):
Language Agnostic Automatic Summarization Evaluation.
In: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), S. 6658-6664, [Online-Edition: http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-...],
[Konferenzveröffentlichung]

Tauchmann, Christopher ; Daxenberger, Johannes ; Mieskes, Margot (2020):
The Influence of Input Data Complexity on Crowdsourcing Quality.
In: IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion, Cagliari, Italy, March 17–20, 2020, S. 71-72, ISBN 978-1-4503-7513-9,
DOI: 10.1145/3379336.3381499,
[Online-Edition: https://dl.acm.org/doi/10.1145/3379336.3381499],
[Konferenzveröffentlichung]

2018

Stab, Christian ; Daxenberger, Johannes ; Stahlhut, Chris ; Miller, Tristan ; Schiller, Benjamin ; Tauchmann, Christopher ; Eger, Steffen ; Gurevych, Iryna (2018):
ArgumenText: Searching for Arguments in Heterogeneous Sources.
In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, In: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 01.06.2018--06.06.2018, S. 21-25, [Online-Edition: http://www.aclweb.org/anthology/N18-5005],
[Konferenzveröffentlichung]

Tauchmann, Christopher ; Arnold, Thomas ; Hanselowski, Andreas ; Meyer, Christian M. ; Mieskes, Margot (2018):
Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data.
In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), European Language Resources Association, Miyazaki, Japan, S. 3184-3191, [Online-Edition: http://www.lrec-conf.org/proceedings/lrec2018/summaries/252....],
[Konferenzveröffentlichung]