Quantitative Constraint Logic Programming for Weighted Grammar Applications. - Stefan Riezler (LACL, 1996)

Probabilistic Constraint Logic Programming - Stefan Riezler (CoRR, 1997)

Inside-Outside Estimation of a Lexicalized PCFG for German. - Franz Beil; Glenn Carroll; Detlef Prescher; Stefan Riezler; Mats Rooth (ACL, 1999)

Estimators for Stochastic "Unification-Based" Grammars. - Mark Johnson 001; Stuart Geman; Stephen Canon; Zhiyi Chi; Stefan Riezler (ACL, 1999)

Inducing a Semantically Annotated Lexicon via EM-Based Clustering. - Mats Rooth; Stefan Riezler; Detlef Prescher (ACL, 1999)

Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation. - Stefan Riezler (Learning Language in Logic, 1999)

Inducing a Semantically Annotated Lexicon via EM-Based Clustering - Mats Rooth; Stefan Riezler; Detlef Prescher; Glenn Carroll; Franz Beil (CoRR, 1999)

Statistical Inference and Probabilistic Modelling for Constraint-Based NLP - Stefan Riezler (CoRR, 1999)

Probabilistic constraint logic programming: formal foundations of quantitative and statistical inference in constrained based natural language processing. - Stefan Riezler (1999)

Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training. - Stefan Riezler; Detlef Prescher; Jonas Kuhn; Mark Johnson 001 (ACL, 2000)

Exploiting auxiliary distributions in stochastic unification-based grammars. - Mark Johnson 001; Stefan Riezler (ANLP, 2000)

Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution. - Detlef Prescher; Stefan Riezler; Mats Rooth (COLING, 2000)

Probabilistic Constraint Logic Programming. Formal Foundations of Quantitative and Statistical Inference in Constraint-Based Natural Language Processing - Stefan Riezler (CoRR, 2000)

Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques. - Stefan Riezler; Tracy Holloway King; Ronald M. Kaplan; Richard S. Crouch; John T. Maxwell III; Mark Johnson 001 (ACL, 2002)

Statistical models of syntax learning and use. - Mark Johnson 001; Stefan Riezler (Cogn. Sci., 2002)

The PARC 700 Dependency Bank. - Tracy Holloway King; Richard S. Crouch; Stefan Riezler; Mary Dalrymple; Ronald M. Kaplan (LINC@EACL, 2003)

Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar. - Stefan Riezler; Tracy Holloway King; Richard S. Crouch; Annie Zaenen (HLT-NAACL, 2003)

Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling. - Stefan Riezler; Alexander Vasserman (EMNLP, 2004)

Speed and Accuracy in Shallow and Deep Stochastic Parsing. - Ronald M. Kaplan; Stefan Riezler; Tracy Holloway King; John T. Maxwell III; Alexander Vasserman; Richard S. Crouch (HLT-NAACL, 2004)

On Some Pitfalls in Automatic Evaluation and Significance Testing for MT. - Stefan Riezler; John T. Maxwell III (IEEvaluation@ACL, 2005)

Grammatical Machine Translation. - Stefan Riezler; John T. Maxwell III (HLT-NAACL, 2006)

New Developments in Parsing Technology. - Stefan Riezler (Comput. Linguistics, 2006)

Statistical Machine Translation for Query Expansion in Answer Retrieval. - Stefan Riezler; Alexander Vasserman; Ioannis Tsochantaridis; Vibhu O. Mittal; Yi Liu 054 (ACL, 2007)

Translating Queries into Snippets for Improved Query Expansion. - Stefan Riezler; Yi Liu 054; Alexander Vasserman (COLING, 2008)

Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation. - Aoife Cahill; Michael Burke; Ruth O'Donovan; Stefan Riezler; Josef van Genabith; Andy Way (Comput. Linguistics, 2008)

Learning Dense Models of Query Similarity from User Click Logs. - Fabio De Bona; Stefan Riezler; Keith B. Hall; Massimiliano Ciaramita; Amac Herdagdelen; Maria Holmqvist (HLT-NAACL, 2010)

Generalized syntactic and semantic models of query reformulation. - Amac Herdagdelen; Massimiliano Ciaramita; Daniel Mahler; Maria Holmqvist; Keith B. Hall; Stefan Riezler; Enrique Alfonseca (SIGIR, 2010)

Query Rewriting Using Monolingual Statistical Machine Translation. - Stefan Riezler; Yi Liu 054 (Comput. Linguistics, 2010)

Improved answer ranking in social question-answering portals. - Felix Hieber; Stefan Riezler (SMUC, 2011)

Multi-Task Minimum Error Rate Training for SMT. - Patrick Simianer; Katharina Wäschle; Stefan Riezler (Prague Bull. Math. Linguistics, 2011)

Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT. - Patrick Simianer; Stefan Riezler; Chris Dyer (ACL (1), 2012)

Structural and Topical Dimensions in Multi-Task Patent Translation. - Katharina Wäschle; Stefan Riezler (EACL, 2012)

Analyzing Parallelism and Domain Similarities in the MAREC Patent Corpus. - Katharina Wäschle; Stefan Riezler (IRFC, 2012)

Twitter Translation using Translation-Based Cross-Lingual Retrieval. - Laura Jehl; Felix Hieber; Stefan Riezler (WMT@NAACL-HLT, 2012)

Task Alternation in Parallel Sentence Retrieval for Twitter Translation. - Felix Hieber; Laura Jehl; Stefan Riezler (ACL (2), 2013)

Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings. - Artem Sokolov; Laura Jehl; Felix Hieber; Stefan Riezler (EMNLP, 2013)

The Heidelberg University machine translation systems for IWSLT2013. - Patrick Simianer; Laura Jehl; Stefan Riezler (IWSLT (Evaluation Campaign), 2013)

Generative and Discriminative Methods for Online Adaptation in SMT. - Katharina Wäschle; Patrick Simianer; Nicola Bertoldi; Stefan Riezler; Marcello Federico (MTSummit, 2013)

The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. - Patrick Simianer; Gesa Stupperich; Laura Jehl; Katharina Wäschle; Artem Sokolov; Stefan Riezler (NTCIR, 2013)

Multi-Task Learning for Improved Discriminative Training in SMT. - Patrick Simianer; Stefan Riezler (WMT@ACL, 2013)

High-Precision Sentence Alignment by Bootstrapping from Wood Standard Annotations. - Éva Mújdricza-Maydt; Huiqin Körkel-Qu; Stefan Riezler; Sebastian Padó (Prague Bull. Math. Linguistics, 2013)

Response-based Learning for Grounded Machine Translation. - Stefan Riezler; Patrick Simianer; Carolin Haas (ACL (1), 2014)

Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. - Shigehiko Schamoni; Felix Hieber; Artem Sokolov; Stefan Riezler (ACL (2), 2014)

Offline extraction of overlapping phrases for hierarchical phrase-based translation. - Sariya Karimova; Patrick Simianer; Stefan Riezler (IWSLT, 2014)

Learning to translate queries for CLIR. - Artem Sokolov; Felix Hieber; Stefan Riezler (SIGIR, 2014)

On the Problem of Theoretical Terms in Empirical Computational Linguistics. - Stefan Riezler (Comput. Linguistics, 2014)

Online adaptation to post-edits for phrase-based statistical machine translation. - Nicola Bertoldi; Patrick Simianer; Mauro Cettolo; Katharina Wäschle; Marcello Federico; Stefan Riezler (Mach. Transl., 2014)

A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. - Artem Sokolov; Stefan Riezler; Shay B. Cohen (CoNLL, 2015)

Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation. - Katharina Wäschle; Stefan Riezler (EAMT, 2015)

Coactive Learning for Interactive Machine Translation. - Artem Sokolov; Stefan Riezler; Shay B. Cohen (MLIS@ICML, 2015)

The Heidelberg University English-German translation system for IWSLT 2015. - Laura Jehl; Patrick Simianer; Julian HIrschler; Stefan Riezler (IWSLT (Evaluation Campaign), 2015)

Bandit structured prediction for learning from partial feedback in statistical machine translation. - Artem Sokolov; Stefan Riezler; Tanguy Urvoy (MTSummit, 2015)

Response-based Learning for Machine Translation of Open-domain Database Queries. - Carolin Haas; Stefan Riezler (HLT-NAACL, 2015)

Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval. - Felix Hieber; Stefan Riezler (HLT-NAACL, 2015)

Combining Orthogonal Information in Large-Scale Cross-Language Information Retrieval. - Shigehiko Schamoni; Stefan Riezler (SIGIR, 2015)

QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. - Julia Kreutzer; Shigehiko Schamoni; Stefan Riezler (WMT@EMNLP, 2015)

Multimodal Pivots for Image Caption Translation. - Julian Hitschler; Shigehiko Schamoni; Stefan Riezler (ACL (1), 2016)

Learning Structured Predictors from Bandit Feedback for Interactive NLP. - Artem Sokolov; Julia Kreutzer; Christopher Lo; Stefan Riezler (ACL (1), 2016)

Learning to translate from graded and negative relevance information. - Laura Jehl; Stefan Riezler (COLING, 2016)

NLmaps: A Natural Language Interface to Query OpenStreetMap. - Carolin Lawrence; Stefan Riezler (COLING (Demos), 2016)

A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation. - Patrick Simianer; Sariya Karimova; Stefan Riezler (COLING (Demos), 2016)

A Full-Text Learning to Rank Dataset for Medical Information Retrieval. - Vera Boteva; Demian Gholipour Ghalandari; Artem Sokolov; Stefan Riezler (ECIR, 2016)

A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap. - Carolin Haas; Stefan Riezler (HLT-NAACL, 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler; Christopher Lo (NIPS, 2016)

Multimodal Pivots for Image Caption Translation. - Julian Hitschler; Stefan Riezler (CoRR, 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler (CoRR, 2016)

Otedama: Fast Rule-Based Pre-Ordering for Machine Translation. - Julian Hitschler; Laura Jehl; Sariya Karimova; Mayumi Ohta; Benjamin Körner; Stefan Riezler (Prague Bull. Math. Linguistics, 2016)

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. - Julia Kreutzer; Artem Sokolov; Stefan Riezler (ACL (1), 2017)

Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. - Carolin Lawrence; Artem Sokolov; Stefan Riezler (EMNLP, 2017)

A Shared Task on Bandit Learning for Machine Translation. - Artem Sokolov; Julia Kreutzer; Kellen Sunderland; Pavel Danchenko; Witold Szymaniak; Hagen Fürstenau; Stefan Riezler (WMT, 2017)

Counterfactual Learning for Machine Translation: Degeneracies and Solutions. - Carolin Lawrence; Pratik Gajane; Stefan Riezler (CoRR, 2017)

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. - Julia Kreutzer; Joshua Uyheng; Stefan Riezler (ACL (1), 2018)

Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. - Carolin Lawrence; Stefan Riezler (ACL (1), 2018)

Document-Level Information as Side Constraints for Improved Neural Patent Translation. - Laura Jehl; Stefan Riezler (AMTA (1), 2018)

A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions. - Shigehiko Schamoni; Julian Hitschler; Stefan Riezler (AMTA (1), 2018)

A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. - Tsz Kin Lam; Julia Kreutzer; Stefan Riezler (EAMT, 2018)

De-Identification of German Medical Admission Notes. - Phillip Richter-Pechanski; Stefan Riezler; Christoph Dieterich (GMDS, 2018)

Can Neural Machine Translation be Improved with User Feedback? - Julia Kreutzer; Shahram Khadivi; Evgeny Matusov; Stefan Riezler (NAACL-HLT (3), 2018)

Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. - Artem Sokolov; Julian Hitschler; Stefan Riezler (CoRR, 2018)

Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. - Carolin Lawrence; Stefan Riezler (CoRR, 2018)

A user-study on online adaptation of neural machine translation to human post-edits. - Sariya Karimova; Patrick Simianer; Stefan Riezler (Mach. Transl., 2018)

Self-Regulated Interactive Sequence-to-Sequence Learning. - Julia Kreutzer; Stefan Riezler (ACL (1), 2019)

Joey NMT: A Minimalist NMT Toolkit for Novices. - Julia Kreutzer; Jasmijn Bastings; Stefan Riezler (EMNLP/IJCNLP (3), 2019)

Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs. - Philipp Wiesenbach; Stefan Riezler (IWSLT, 2019)

Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. - Tsz Kin Lam; Shigehiko Schamoni; Stefan Riezler (MTSummit (1), 2019)

Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction. - Shigehiko Schamoni; Holger A. Lindner; Verena Schneider-Lindner; Manfred Thiel; Stefan Riezler (Artif. Intell. Medicine, 2019)

LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition. - Benjamin Beilharz; Xin Sun; Sariya Karimova; Stefan Riezler (CoRR, 2019)

Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. - Laura Jehl; Carolin Lawrence; Stefan Riezler (Trans. Assoc. Comput. Linguistics, 2019)

Embedding Meta-Textual Information for Improved Learning to Rank. - Toshitaka Kuwa; Shigehiko Schamoni; Stefan Riezler (COLING, 2020)

Correct Me If You Can: Learning from Error Corrections and Markings. - Julia Kreutzer; Nathaniel Berger; Stefan Riezler (EAMT, 2020)

LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition. - Benjamin Beilharz; Xin Sun; Sariya Karimova; Stefan Riezler (LREC, 2020)

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. - Mayumi Ohta; Nathaniel Berger; Artem Sokolov; Stefan Riezler (LOD (2), 2020)

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. - Julia Kreutzer; Stefan Riezler; Carolin Lawrence (CoRR, 2020)

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. - Julia Kreutzer; Stefan Riezler; Carolin Lawrence (SPNLP@ACL-IJCNLP, 2021)

Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. - Raphael Schumann; Stefan Riezler (ACL/IJCNLP (1), 2021)

Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. - Nathaniel Berger; Stefan Riezler; Sebastian Ebert; Artem Sokolov (EMNLP (1), 2021)

Cascaded Models with Cyclic Feedback for Direct Speech Translation. - Tsz Kin Lam; Shigehiko Schamoni; Stefan Riezler (ICASSP, 2021)

On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. - Tsz Kin Lam; Mayumi Ohta; Shigehiko Schamoni; Stefan Riezler (Interspeech, 2021)

Error-Aware Interactive Semantic Parsing of OpenStreetMap. - Michael Staniek; Stefan Riezler (CoRR, 2021)

False perfection in machine prediction: Detecting and assessing circularity problems in machine learning. - Michael Hagmann; Stefan Riezler (CoRR, 2021)

Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Stefan Riezler; Michael Hagmann (Morgan & Claypool Publishers, 2021)

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation. - Tsz Kin Lam; Shigehiko Schamoni; Stefan Riezler (ACL (2), 2022)

Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas. - Raphael Schumann; Stefan Riezler (ACL (1), 2022)

JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. - Mayumi Ohta; Julia Kreutzer; Stefan Riezler (EMNLP (Demos), 2022)

Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. - Shigehiko Schamoni; Michael Hagmann; Stefan Riezler (MLHC, 2022)

Early Prediction of Sepsis Using Time Series Forecasting. - Jinghua Xu; Natalia Minakova; Pablo Ortega Sanchez; Stefan Riezler (e-Science, 2023)

Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. - Nathaniel Berger; Miriam Exel; Matthias Huck; Stefan Riezler (EAMT, 2023)

Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation. - Tsz Kin Lam; Shigehiko Schamoni; Stefan Riezler (ICASSP, 2023)

Towards Inferential Reproducibility of Machine Learning Research. - Michael Hagmann; Philipp Meier; Stefan Riezler (ICLR, 2023)

Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. - Rebekka Hubert; Artem Sokolov; Stefan Riezler (IWSLT@ACL, 2023)

Validity problems in clinical machine learning by indirect data labeling using consensus definitions. - Michael Hagmann; Shigehiko Schamoni; Stefan Riezler (CoRR, 2023)

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. - Raphael Schumann; Wanrong Zhu; Weixi Feng; Tsu-Jui Fu; Stefan Riezler; William Yang Wang (AAAI, 2024)

Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. - Nathaniel Berger; Stefan Riezler; Miriam Exel; Matthias Huck (EAMT (1), 2024)

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting. - Michael Staniek; Marius Fracarolli; Michael Hagmann; Stefan Riezler (MLHC, 2024)

Post-edits Are Preferences Too. - Nathaniel Berger; Stefan Riezler; Miriam Exel; Matthias Huck (WMT, 2024)

Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap. - Michael Staniek; Raphael Schumann; Maike Züfle; Stefan Riezler (Trans. Assoc. Comput. Linguistics, 2024)

Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation. - Michael Hagmann; Michael Staniek; Stefan Riezler (Trans. Mach. Learn. Res., 2025)

Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits. - Nathaniel Berger; Johannes Eschbach-Dymanus; Miriam Exel; Matthias Huck; Stefan Riezler (CoRR, 2025)