Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data. - Christopher Tauchmann; Thomas Arnold 002; Andreas Hanselowski; Christian M. Meyer; Margot Mieskes (LREC, 2018)

ArgumenText: Searching for Arguments in Heterogeneous Sources. - Christian Stab; Johannes Daxenberger; Chris Stahlhut; Tristan Miller; Benjamin Schiller; Christopher Tauchmann; Steffen Eger; Iryna Gurevych (NAACL-HLT (Demonstrations), 2018)

Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions. - David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo 001 (CoRR, 2019)

The Influence of Input Data Complexity on Crowdsourcing Quality. - Christopher Tauchmann; Johannes Daxenberger; Margot Mieskes (IUI Companion, 2020)

Language Agnostic Automatic Summarization Evaluation. - Christopher Tauchmann; Margot Mieskes (LREC, 2020)

Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. - David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo 001; Kristian Kersting (ICWSM, 2021)

Interactively Generating Explanations for Transformer Language Models. - Patrick Schramowski; Felix Friedrich; Christopher Tauchmann; Kristian Kersting (CoRR, 2021)

Advanced Corpus Annotation Strategies for NLP. Applications in Automatic Summarization and Text Classification. - Christopher Tauchmann (2021)

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? - Patrick Schramowski; Christopher Tauchmann; Kristian Kersting (FAccT, 2022)

Interactively Providing Explanations for Transformer Language Models. - Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting (HHAI, 2022)