Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

2 code implementations • 14 Feb 2022 • Patrick Schramowski, Christopher Tauchmann, Kristian Kersting

This calls for increased dataset documentation, e. g., using datasheets.

Language Modelling

Interactively Providing Explanations for Transformer Language Models

1 code implementation • 2 Sep 2021 • Felix Friedrich, Patrick Schramowski, Christopher Tauchmann, Kristian Kersting

Transformer language models are state of the art in a multitude of NLP tasks.

Language Agnostic Automatic Summarization Evaluation

no code implementations • LREC 2020 • Christopher Tauchmann, Margot Mieskes

In our work, we present experiments of adapting available evaluation methods such as ROUGE and PYRAMID to non-English data.

ArgumenText: Searching for Arguments in Heterogeneous Sources

no code implementations • NAACL 2018 • Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych

Argument mining is a core technology for enabling argument search in large corpora.

Argument Mining Argument Retrieval +4

Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data

1 code implementation • LREC 2018 • Christopher Tauchmann, Thomas Arnold, Andreas Hanselowski, Christian M. Meyer, Margot Mieskes

Document Summarization Multi-Document Summarization