Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen. - Robert Schwarzenberg; Bernd Freisleben; Ron Kikinis; Christopher Nimsky; Jan Egger (Bildverarbeitung für die Medizin, 2013)

Interactive-cut: Real-time feedback segmentation for translational research. - Jan Egger; Tobias Lüddemann; Robert Schwarzenberg; Bernd Freisleben; Christopher Nimsky (Comput. Medical Imaging Graph., 2014)

Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences. - Robert Schwarzenberg; Bernd Freisleben; Christopher Nimsky; Jan Egger (CoRR, 2014)

In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition. - Robert Schwarzenberg; Leonhard Hennig; Holmer Hemsen (GSCL, 2017)

Learning Explanations from Language Data. - David Harbecke; Robert Schwarzenberg; Christoph Alt (BlackboxNLP@EMNLP, 2018)

Question Answering for Technical Customer Support. - Yang Li; Qingliang Miao; Ji Geng 002; Christoph Alt; Robert Schwarzenberg; Leonhard Hennig; Changjian Hu; Feiyu Xu 001 (NLPCC (1), 2018)

Train, Sort, Explain: Learning to Diagnose Translation Models. - Robert Schwarzenberg; David Harbecke; Vivien Macketanz; Eleftherios Avramidis; Sebastian Möller 001 (NAACL-HLT (Demonstrations), 2019)

Cross-lingual Neural Vector Conceptualization. - Lisa Raithel; Robert Schwarzenberg (NLPCC (2), 2019)

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. - Robert Schwarzenberg; Marc Hübner; David Harbecke; Christoph Alt; Leonhard Hennig (TextGraphs@EMNLP, 2019)

Neural Vector Conceptualization for Word Vector Space Interpretation. - Robert Schwarzenberg; Lisa Raithel; David Harbecke (CoRR, 2019)

MOLI: Smart Conversation Agent for Mobile Customer Service. - Guoguang Zhao; Jianyu Zhao; Yang Li; Christoph Alt; Robert Schwarzenberg; Leonhard Hennig; Stefan Schaffer; Sven Schmeier; Changjian Hu; Feiyu Xu 001 (Inf., 2019)

Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. - Dmitrii Aksenov; Julián Moreno Schneider; Peter Bourgonje; Robert Schwarzenberg; Leonhard Hennig; Georg Rehm (LREC, 2020)

Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. - Marc Hübner; Christoph Alt; Robert Schwarzenberg; Leonhard Hennig (SemEval@COLING, 2020)

Evaluating German Transformer Language Models with Syntactic Agreement Tests. - Karolina Zaczynska; Nils Feldhus; Robert Schwarzenberg; Aleksandra Gabryszak; Sebastian Möller 001 (SwissText/KONVENS, 2020)

Pattern-Guided Integrated Gradients. - Robert Schwarzenberg; Steffen Castle (CoRR, 2020)

Efficient Explanations from Empirical Explainers. - Robert Schwarzenberg; Nils Feldhus; Sebastian Möller 001 (BlackboxNLP@EMNLP, 2021)

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. - Nils Feldhus; Robert Schwarzenberg; Sebastian Möller 001 (EMNLP (Demos), 2021)

Detecting Covariate Drift with Explanations. - Steffen Castle; Robert Schwarzenberg; Mohsen Pourvali (NLPCC (2), 2021)

Constructing Natural Language Explanations via Saliency Map Verbalization. - Nils Feldhus; Leonhard Hennig; Maximilian Dustin Nasert; Christopher Ebert; Robert Schwarzenberg; Sebastian Möller 001 (CoRR, 2022)