Robert Schwarzenberg

According to our database, Robert Schwarzenberg authored at least 19 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Constructing Natural Language Explanations via Saliency Map Verbalization.

Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller

CoRR, 2022

2021

Detecting Covariate Drift with Explanations.

Steffen Castle, Robert Schwarzenberg, Mohsen Pourvali

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools.

Nils Feldhus, Robert Schwarzenberg, Sebastian Möller

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Efficient Explanations from Empirical Explainers.

Robert Schwarzenberg, Nils Feldhus, Sebastian Möller

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Pattern-Guided Integrated Gradients.

Robert Schwarzenberg, Steffen Castle

CoRR, 2020

Evaluating German Transformer Language Models with Syntactic Agreement Tests.

Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction.

Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling.

Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

Inf., 2019

Neural Vector Conceptualization for Word Vector Space Interpretation.

Robert Schwarzenberg, Lisa Raithel, David Harbecke

CoRR, 2019

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers.

Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Cross-lingual Neural Vector Conceptualization.

Lisa Raithel, Robert Schwarzenberg

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Train, Sort, Explain: Learning to Diagnose Translation Models.

Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Question Answering for Technical Customer Support.

Yang Li, Qingliang Miao, Ji Geng, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Changjian Hu, Feiyu Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Learning Explanations from Language Data.

David Harbecke, Robert Schwarzenberg, Christoph Alt

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017

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

Proceedings of the Language Technologies for the Challenges of the Digital Age, 2017

2014

Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences.

Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger

CoRR, 2014

Interactive-cut: Real-time feedback segmentation for translational research.

Jan Egger, Tobias Lüddemann, Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky

Comput. Medical Imaging Graph., 2014

2013

Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen.

Robert Schwarzenberg, Bernd Freisleben, Ron Kikinis, Christopher Nimsky, Jan Egger

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013