Layerwise relevance visualization in convolutional text graph classifiers R Schwarzenberg, M Hübner, D Harbecke, C Alt, L Hennig arXiv preprint arXiv:1909.10911, 2019 | 74 | 2019 |
Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences R Schwarzenberg, B Freisleben, C Nimsky, J Egger PloS one 9 (4), e93389, 2014 | 54 | 2014 |
Interactive-cut: real-time feedback segmentation for translational research J Egger, T Lüddemann, R Schwarzenberg, B Freisleben, C Nimsky Computerized Medical Imaging and Graphics 38 (4), 285-295, 2014 | 37 | 2014 |
Abstractive text summarization based on language model conditioning and locality modeling D Aksenov, J Moreno-Schneider, P Bourgonje, R Schwarzenberg, ... arXiv preprint arXiv:2003.13027, 2020 | 30 | 2020 |
A cube-based approach to segment vertebrae in MRI-acquisitions R Schwarzenberg, B Freisleben, R Kikinis, C Nimsky, J Egger Proceedings of Bildverarbeitung für die Medizin (BVM), 69-74, 2013 | 17 | 2013 |
Neural vector conceptualization for word vector space interpretation R Schwarzenberg, L Raithel, D Harbecke arXiv preprint arXiv:1904.01500, 2019 | 16 | 2019 |
MOLI: Smart conversation agent for mobile customer service G Zhao, J Zhao, Y Li, C Alt, R Schwarzenberg, L Hennig, S Schaffer, ... Information 10 (2), 63, 2019 | 16 | 2019 |
Question answering for technical customer support Y Li, Q Miao, J Geng, C Alt, R Schwarzenberg, L Hennig, C Hu, F Xu Natural Language Processing and Chinese Computing: 7th CCF International …, 2018 | 13 | 2018 |
Thermostat: A large collection of NLP model explanations and analysis tools N Feldhus, R Schwarzenberg, S Möller arXiv preprint arXiv:2108.13961, 2021 | 12 | 2021 |
Saliency map verbalization: Comparing feature importance representations from model-free and instruction-based methods N Feldhus, L Hennig, MD Nasert, C Ebert, R Schwarzenberg, S Möller arXiv preprint arXiv:2210.07222, 2022 | 10 | 2022 |
Learning explanations from language data D Harbecke, R Schwarzenberg, C Alt arXiv preprint arXiv:1808.04127, 2018 | 10 | 2018 |
Efficient explanations from empirical explainers R Schwarzenberg, N Feldhus, S Möller arXiv preprint arXiv:2103.15429, 2021 | 9 | 2021 |
Train, sort, explain: Learning to diagnose translation models R Schwarzenberg, D Harbecke, V Macketanz, E Avramidis, S Möller arXiv preprint arXiv:1903.12017, 2019 | 9 | 2019 |
In-memory distributed training of linear-chain conditional random fields with an application to fine-grained named entity recognition R Schwarzenberg, L Hennig, H Hemsen Language Technologies for the Challenges of the Digital Age: 27th …, 2018 | 5 | 2018 |
Constructing natural language explanations via saliency map verbalization N Feldhus, L Hennig, MD Nasert, C Ebert, R Schwarzenberg, S Möller arXiv preprint arXiv:2210.07222, 2022 | 4 | 2022 |
Evaluating German transformer language models with syntactic agreement tests K Zaczynska, N Feldhus, R Schwarzenberg, A Gabryszak, S Möller arXiv preprint arXiv:2007.03765, 2020 | 4 | 2020 |
Detecting covariate drift with explanations S Castle, R Schwarzenberg, M Pourvali CCF International Conference on Natural Language Processing and Chinese …, 2021 | 3 | 2021 |
Pattern-guided integrated gradients R Schwarzenberg, S Castle arXiv preprint arXiv:2007.10685, 2020 | 2 | 2020 |
Cross-lingual Neural Vector Conceptualization L Raithel, R Schwarzenberg Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 1 | 2019 |
Semi-Automatic, Graph-Based Vertebra Segmentation in MRI Data R Schwarzenberg Department of Mathematics and Computer Science, University of Marburg Germany, 2012 | 1 | 2012 |