Robert Schwarzenberg

27 papers B 1Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2022 J jnl
Constructing Natural Language Explanations via Saliency Map Verbalization.
CoRR
Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller
2021 J jnl
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction.
CoRR
Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
2021 — conf
Detecting Covariate Drift with Explanations.
NLPCC (2)
Steffen Castle, Robert Schwarzenberg, Mohsen Pourvali
2021 — conf
Efficient Explanations from Empirical Explainers.
BlackboxNLP@EMNLP
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
2021 J jnl
Efficient Explanations from Empirical Explainers.
CoRR
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
2021 — conf
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools.
EMNLP (Demos)
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
2021 J jnl
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools.
CoRR
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
2020 B conf
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling.
LREC
Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm
2020 J jnl
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling.
CoRR
Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm
2020 — conf
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction.
SemEval@COLING
Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
2020 — conf
Evaluating German Transformer Language Models with Syntactic Agreement Tests.
SwissText/KONVENS
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
2020 J jnl
Evaluating German Transformer Language Models with Syntactic Agreement Tests.
CoRR
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
2020 J jnl
Pattern-Guided Integrated Gradients.
CoRR
Robert Schwarzenberg, Steffen Castle
2019 — conf
Cross-lingual Neural Vector Conceptualization.
NLPCC (2)
Lisa Raithel, Robert Schwarzenberg
2019 — conf
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers.
TextGraphs@EMNLP
Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
2019 J jnl
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers.
CoRR
Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
2019 J jnl
MOLI: Smart Conversation Agent for Mobile Customer Service.
Inf.
Guoguang Zhao, Jianyu Zhao, Yang Li, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Stefan Schaffer, Sven Schmeier, Changjian Hu, Feiyu Xu
2019 J jnl
Neural Vector Conceptualization for Word Vector Space Interpretation.
CoRR
Robert Schwarzenberg, Lisa Raithel, David Harbecke
2019 — conf
Train, Sort, Explain: Learning to Diagnose Translation Models.
NAACL-HLT (Demonstrations)
Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
2019 J jnl
Train, Sort, Explain: Learning to Diagnose Translation Models.
CoRR
Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
2018 — conf
Learning Explanations from Language Data.
BlackboxNLP@EMNLP
David Harbecke, Robert Schwarzenberg, Christoph Alt
2018 J jnl
Learning Explanations from Language Data.
CoRR
David Harbecke, Robert Schwarzenberg, Christoph Alt
2018 — conf
Question Answering for Technical Customer Support.
NLPCC (1)
Yang Li, Qingliang Miao, Ji Geng, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Changjian Hu, Feiyu Xu
2017 — conf
In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition.
GSCL
Robert Schwarzenberg, Leonhard Hennig, Holmer Hemsen
2014 J jnl
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences.
CoRR
Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger
2014 J jnl
Interactive-cut: Real-time feedback segmentation for translational research.
Comput. Medical Imaging Graph.
Jan Egger, Tobias Lüddemann, Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky
2013 — conf
Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen.
Bildverarbeitung für die Medizin
Robert Schwarzenberg, Bernd Freisleben, Ron Kikinis, Christopher Nimsky, Jan Egger