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Robert Schwarzenberg
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2020 – today
- 2022
- [i12]Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller
:
Constructing Natural Language Explanations via Saliency Map Verbalization. CoRR abs/2210.07222 (2022) - 2021
- [c13]Robert Schwarzenberg
, Nils Feldhus, Sebastian Möller:
Efficient Explanations from Empirical Explainers. BlackboxNLP@EMNLP 2021: 240-249 - [c12]Nils Feldhus, Robert Schwarzenberg
, Sebastian Möller:
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. EMNLP (Demos) 2021: 87-95 - [c11]Steffen Castle
, Robert Schwarzenberg
, Mohsen Pourvali
:
Detecting Covariate Drift with Explanations. NLPCC (2) 2021: 317-322 - [i11]Robert Schwarzenberg, Nils Feldhus, Sebastian Möller:
Efficient Explanations from Empirical Explainers. CoRR abs/2103.15429 (2021) - [i10]Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig:
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. CoRR abs/2103.17090 (2021) - [i9]Nils Feldhus, Robert Schwarzenberg, Sebastian Möller:
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. CoRR abs/2108.13961 (2021) - 2020
- [c10]Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm:
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. LREC 2020: 6680-6689 - [c9]Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig:
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. SemEval@COLING 2020: 704-709 - [c8]Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller:
Evaluating German Transformer Language Models with Syntactic Agreement Tests. SwissText/KONVENS 2020 - [i8]Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm:
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. CoRR abs/2003.13027 (2020) - [i7]Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller:
Evaluating German Transformer Language Models with Syntactic Agreement Tests. CoRR abs/2007.03765 (2020) - [i6]Robert Schwarzenberg
, Steffen Castle
:
Pattern-Guided Integrated Gradients. CoRR abs/2007.10685 (2020)
2010 – 2019
- 2019
- [j2]Guoguang Zhao, Jianyu Zhao, Yang Li, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Stefan Schaffer, Sven Schmeier, Changjian Hu, Feiyu Xu:
MOLI: Smart Conversation Agent for Mobile Customer Service. Inf. 10(2): 63 (2019) - [c7]Robert Schwarzenberg
, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller:
Train, Sort, Explain: Learning to Diagnose Translation Models. NAACL-HLT (Demonstrations) 2019: 29-34 - [c6]Lisa Raithel, Robert Schwarzenberg
:
Cross-lingual Neural Vector Conceptualization. NLPCC (2) 2019: 645-652 - [c5]Robert Schwarzenberg
, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig:
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. TextGraphs@EMNLP 2019: 58-62 - [i5]Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller:
Train, Sort, Explain: Learning to Diagnose Translation Models. CoRR abs/1903.12017 (2019) - [i4]Robert Schwarzenberg, Lisa Raithel, David Harbecke:
Neural Vector Conceptualization for Word Vector Space Interpretation. CoRR abs/1904.01500 (2019) - [i3]Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig:
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. CoRR abs/1909.10911 (2019) - 2018
- [c4]David Harbecke, Robert Schwarzenberg
, Christoph Alt:
Learning Explanations from Language Data. BlackboxNLP@EMNLP 2018: 316-318 - [c3]Yang Li, Qingliang Miao, Ji Geng, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Changjian Hu, Feiyu Xu:
Question Answering for Technical Customer Support. NLPCC (1) 2018: 3-15 - [i2]David Harbecke, Robert Schwarzenberg, Christoph Alt:
Learning Explanations from Language Data. CoRR abs/1808.04127 (2018) - 2017
- [c2]Robert Schwarzenberg
, Leonhard Hennig, Holmer Hemsen:
In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition. GSCL 2017: 155-167 - 2014
- [j1]Jan Egger, Tobias Lüddemann, Robert Schwarzenberg
, Bernd Freisleben
, Christopher Nimsky
:
Interactive-cut: Real-time feedback segmentation for translational research. Comput. Medical Imaging Graph. 38(4): 285-295 (2014) - [i1]Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger:
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences. CoRR abs/1404.4467 (2014) - 2013
- [c1]Robert Schwarzenberg, Bernd Freisleben
, Ron Kikinis, Christopher Nimsky
, Jan Egger:
Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen. Bildverarbeitung für die Medizin 2013: 69-74
Coauthor Index

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last updated on 2025-01-21 00:20 CET by the dblp team
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