Robert M. Nickel

Also published as: Robert M Nickel


2024

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Features and Detectability of German Texts Generated with Large Language Models
Verena Irrgang | Veronika Solopova | Steffen Zeiler | Robert M. Nickel | Dorothea Kolossa
Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)

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Who Wrote When? Author Diarization in Social Media Discussions
Benedikt Boenninghoff | Henry Hosseini | Robert M. Nickel | Dorothea Kolossa
Findings of the Association for Computational Linguistics: EMNLP 2024

We are proposing a novel framework for author diarization, i.e. attributing comments in online discussions to individual authors. We consider an innovative approach that merges pre-trained neural representations of writing style with author-conditional encoder-decoder diarization, enhanced by a Conditional Random Field with Viterbi decoding for alignment refinement. Additionally, we introduce two new large-scale German language datasets, one for authorship verification and the other for author diarization. We evaluate the performance of our diarization framework on these datasets, offering insights into the strengths and limitations of this approach.

2023

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Deep Learning-Based Claim Matching with Multiple Negatives Training
Anna Neumann | Dorothea Kolossa | Robert M Nickel
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023)