Robert Schwarzenberg

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 24

Top Topics

Translation Model

Customer Support

Question Answering

Top Venues

BlackboxNLP@EMNLP

Publications

Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller
Constructing Natural Language Explanations via Saliency Map Verbalization. CoRR (2022)
Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. CoRR (2021)
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
Efficient Explanations from Empirical Explainers. CoRR (2021)
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
Efficient Explanations from Empirical Explainers. BlackboxNLP@EMNLP (2021)
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. EMNLP (Demos) (2021)
Steffen Castle, Robert Schwarzenberg, Mohsen Pourvali
Detecting Covariate Drift with Explanations. NLPCC (2) (2021)
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. CoRR (2021)
Robert Schwarzenberg, Steffen Castle
Pattern-Guided Integrated Gradients. CoRR (2020)
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)
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 (2020)
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
Evaluating German Transformer Language Models with Syntactic Agreement Tests. CoRR (2020)
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)
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
Evaluating German Transformer Language Models with Syntactic Agreement Tests. SwissText/KONVENS (2020)
Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
Train, Sort, Explain: Learning to Diagnose Translation Models. CoRR (2019)
Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. CoRR (2019)
Robert Schwarzenberg, Lisa Raithel, David Harbecke
Neural Vector Conceptualization for Word Vector Space Interpretation. CoRR (2019)
Lisa Raithel, Robert Schwarzenberg
Cross-lingual Neural Vector Conceptualization. NLPCC (2) (2019)
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) (2019)
Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
Train, Sort, Explain: Learning to Diagnose Translation Models. NAACL-HLT (Demonstrations) (2019)
Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. TextGraphs@EMNLP (2019)
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)
David Harbecke, Robert Schwarzenberg, Christoph Alt
Learning Explanations from Language Data. BlackboxNLP@EMNLP (2018)
David Harbecke, Robert Schwarzenberg, Christoph Alt
Learning Explanations from Language Data. CoRR (2018)
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)
Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences. CoRR (2014)
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) (2014)
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)