Stefan Riezler

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 88

Top Venues

CoRR

ACL (1)

EAMT

HLT-NAACL

University of Tübingen, Germany (PHD)

Education History

University of Tübingen, Germany

PHD

Publications

Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap. Trans. Assoc. Comput. Linguistics 12 (2024)
Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. AAAI (2024)
Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. CoRR (2024)
Rebekka Hubert, Artem Sokolov, Stefan Riezler
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. CoRR (2023)
Michael Hagmann, Shigehiko Schamoni, Stefan Riezler
Validity problems in clinical machine learning by indirect data labeling using consensus definitions. CoRR (2023)
Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. EAMT (2023)
Rebekka Hubert, Artem Sokolov, Stefan Riezler
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. IWSLT@ACL (2023)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation. ICASSP (2023)
Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez, Stefan Riezler
Early Prediction of Sepsis Using Time Series Forecasting. e-Science (2023)
Michael Hagmann, Stefan Riezler
Towards Inferential Reproducibility of Machine Learning Research. CoRR (2023)
Michael Hagmann, Philipp Meier, Stefan Riezler
Towards Inferential Reproducibility of Machine Learning Research. ICLR (2023)
Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. CoRR (2023)
Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap. CoRR (2023)
Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. CoRR (2023)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation. CoRR (2022)
Shigehiko Schamoni, Michael Hagmann, Stefan Riezler
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. MLHC (2022)
Shigehiko Schamoni, Michael Hagmann, Stefan Riezler
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. CoRR (2022)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation. ACL (2) (2022)
Raphael Schumann, Stefan Riezler
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas. CoRR (2022)
Raphael Schumann, Stefan Riezler
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas. ACL (1) (2022)
Mayumi Ohta, Julia Kreutzer, Stefan Riezler
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. EMNLP (Demos) (2022)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation. CoRR (2022)
Mayumi Ohta, Julia Kreutzer, Stefan Riezler
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. CoRR (2022)
Michael Staniek, Stefan Riezler
Error-Aware Interactive Semantic Parsing of OpenStreetMap. CoRR (2021)
Julia Kreutzer, Stefan Riezler, Carolin Lawrence
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP (2021)
Nathaniel Berger, Stefan Riezler, Artem Sokolov, Sebastian Ebert
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. CoRR (2021)
Michael Hagmann, Stefan Riezler
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning. CoRR (2021)
Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. CoRR (2021)
Nathaniel Berger, Stefan Riezler, Sebastian Ebert, Artem Sokolov
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. EMNLP (1) (2021)
Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. Interspeech (2021)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Cascaded Models with Cyclic Feedback for Direct Speech Translation. ICASSP (2021)
Raphael Schumann, Stefan Riezler
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. ACL/IJCNLP (1) (2021)
Raphael Schumann, Stefan Riezler
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. CoRR (2020)
Julia Kreutzer, Nathaniel Berger, Stefan Riezler
Correct Me If You Can: Learning from Error Corrections and Markings. CoRR (2020)
Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition. LREC (2020)
Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler
Embedding Meta-Textual Information for Improved Learning to Rank. CoRR (2020)
Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler
Embedding Meta-Textual Information for Improved Learning to Rank. COLING (2020)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Cascaded Models With Cyclic Feedback For Direct Speech Translation. CoRR (2020)
Julia Kreutzer, Nathaniel Berger, Stefan Riezler
Correct Me If You Can: Learning from Error Corrections and Markings. EAMT (2020)
Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. LOD (2) (2020)
Julia Kreutzer, Stefan Riezler, Carolin Lawrence
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. CoRR (2020)
Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. CoRR (2020)
Philipp Wiesenbach, Stefan Riezler
Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs. IWSLT (2019)
Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner, Manfred Thiel, Stefan Riezler
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction. CoRR (2019)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. MTSummit (1) (2019)
Julia Kreutzer, Stefan Riezler
Self-Regulated Interactive Sequence-to-Sequence Learning. CoRR (2019)
Laura Jehl, Carolin Lawrence, Stefan Riezler
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. Trans. Assoc. Comput. Linguistics 7 (2019)
Julia Kreutzer, Jasmijn Bastings, Stefan Riezler
Joey NMT: A Minimalist NMT Toolkit for Novices. CoRR (2019)
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. CoRR (2019)
Laura Jehl, Carolin Lawrence, Stefan Riezler
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. CoRR (2019)
Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner, Manfred Thiel, Stefan Riezler
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction. Artif. Intell. Medicine 100 (2019)
Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition. CoRR (2019)
Julia Kreutzer, Stefan Riezler
Self-Regulated Interactive Sequence-to-Sequence Learning. ACL (1) (2019)
Julia Kreutzer, Jasmijn Bastings, Stefan Riezler
Joey NMT: A Minimalist NMT Toolkit for Novices. EMNLP/IJCNLP (3) (2019)
Tsz Kin Lam, Julia Kreutzer, Stefan Riezler
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. CoRR (2018)
Laura Jehl, Stefan Riezler
Document-Level Information as Side Constraints for Improved Neural Patent Translation. AMTA (1) (2018)
Julia Kreutzer, Joshua Uyheng, Stefan Riezler
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. CoRR (2018)
Tsz Kin Lam, Julia Kreutzer, Stefan Riezler
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. EAMT (2018)
Shigehiko Schamoni, Julian Hitschler, Stefan Riezler
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions. AMTA (1) (2018)
Phillip Richter-Pechanski, Stefan Riezler, Christoph Dieterich
De-Identification of German Medical Admission Notes. GMDS (2018)
Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler
Can Neural Machine Translation be Improved with User Feedback? CoRR (2018)
Carolin Lawrence, Stefan Riezler
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. CoRR (2018)
Carolin Lawrence, Stefan Riezler
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. CoRR (2018)
Artem Sokolov, Julian Hitschler, Stefan Riezler
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. CoRR (2018)
Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler
Can Neural Machine Translation be Improved with User Feedback? NAACL-HLT (3) (2018)
Julia Kreutzer, Joshua Uyheng, Stefan Riezler
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. ACL (1) (2018)
Carolin Lawrence, Stefan Riezler
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. ACL (1) (2018)
Sariya Karimova, Patrick Simianer, Stefan Riezler
A user-study on online adaptation of neural machine translation to human post-edits. Mach. Transl. 32 (4) (2018)
Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler
A Shared Task on Bandit Learning for Machine Translation. WMT (2017)
Julia Kreutzer, Artem Sokolov, Stefan Riezler
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. ACL (1) (2017)
Julia Kreutzer, Artem Sokolov, Stefan Riezler
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. CoRR (2017)
Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler
A Shared Task on Bandit Learning for Machine Translation. CoRR (2017)
Sariya Karimova, Patrick Simianer, Stefan Riezler
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits. CoRR (2017)
Carolin Lawrence, Artem Sokolov, Stefan Riezler
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. CoRR (2017)
Carolin Lawrence, Pratik Gajane, Stefan Riezler
Counterfactual Learning for Machine Translation: Degeneracies and Solutions. CoRR (2017)
Carolin Lawrence, Artem Sokolov, Stefan Riezler
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. EMNLP (2017)
Vera Boteva, Demian Gholipour Ghalandari, Artem Sokolov, Stefan Riezler
A Full-Text Learning to Rank Dataset for Medical Information Retrieval. ECIR (2016)
Julian Hitschler, Laura Jehl, Sariya Karimova, Mayumi Ohta, Benjamin Körner, Stefan Riezler
Otedama: Fast Rule-Based Pre-Ordering for Machine Translation. Prague Bull. Math. Linguistics 106 (2016)
Carolin Haas, Stefan Riezler
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap. HLT-NAACL (2016)
Artem Sokolov, Julia Kreutzer, Stefan Riezler
Stochastic Structured Prediction under Bandit Feedback. CoRR (2016)
Julian Hitschler, Shigehiko Schamoni, Stefan Riezler
Multimodal Pivots for Image Caption Translation. ACL (1) (2016)
Patrick Simianer, Sariya Karimova, Stefan Riezler
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation. COLING (Demos) (2016)
Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo
Stochastic Structured Prediction under Bandit Feedback. NIPS (2016)
Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler
Learning Structured Predictors from Bandit Feedback for Interactive NLP. ACL (1) (2016)
Artem Sokolov, Stefan Riezler, Tanguy Urvoy
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation. CoRR (2016)
Carolin Lawrence, Stefan Riezler
NLmaps: A Natural Language Interface to Query OpenStreetMap. COLING (Demos) (2016)
Julian Hitschler, Stefan Riezler
Multimodal Pivots for Image Caption Translation. CoRR (2016)
Laura Jehl, Stefan Riezler
Learning to translate from graded and negative relevance information. COLING (2016)
Artem Sokolov, Stefan Riezler, Shay B. Cohen
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. CoNLL (2015)
Artem Sokolov, Stefan Riezler, Tanguy Urvoy
Bandit structured prediction for learning from partial feedback in statistical machine translation. MTSummit (2015)
Shigehiko Schamoni, Stefan Riezler
Combining Orthogonal Information in Large-Scale Cross-Language Information Retrieval. SIGIR (2015)
Carolin Haas, Stefan Riezler
Response-based Learning for Machine Translation of Open-domain Database Queries. HLT-NAACL (2015)
Julia Kreutzer, Shigehiko Schamoni, Stefan Riezler
QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. WMT@EMNLP (2015)
Felix Hieber, Stefan Riezler
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval. HLT-NAACL (2015)
Katharina Wäschle, Stefan Riezler
Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation. EAMT (2015)
Artem Sokolov, Stefan Riezler, Shay B. Cohen
Coactive Learning for Interactive Machine Translation. MLIS@ICML (2015)
Laura Jehl, Patrick Simianer, Julian HIrschler, Stefan Riezler
The Heidelberg University English-German translation system for IWSLT 2015. IWSLT (Evaluation Campaign) (2015)
Shigehiko Schamoni, Felix Hieber, Artem Sokolov, Stefan Riezler
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. ACL (2) (2014)
Stefan Riezler
On the Problem of Theoretical Terms in Empirical Computational Linguistics. Comput. Linguistics 40 (1) (2014)
Sariya Karimova, Patrick Simianer, Stefan Riezler
Offline extraction of overlapping phrases for hierarchical phrase-based translation. IWSLT (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Riezler