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ORCIDStefan Riezler
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- affiliation: Universität Heidelberg, Germany
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2020 – today
- 2024
[j13]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: 562-575 (2024)- [c85]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: 18924-18933 - [c84]Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck:
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. EAMT (1) 2024: 636-646 - [i54]Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck:
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation. CoRR abs/2406.02267 (2024) - [i53]Michael Staniek, Marius Fracarolli, Michael Hagmann, Stefan Riezler:
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting. CoRR abs/2408.03816 (2024) - [i52]Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck:
Post-edits Are Preferences Too. CoRR abs/2410.02320 (2024) - 2023
- [c83]Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez, Stefan Riezler:
Early Prediction of Sepsis Using Time Series Forecasting. e-Science 2023: 1-9 - [c82]Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler:
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. EAMT 2023: 69-78 - [c81]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation. ICASSP 2023: 1-5 - [c80]Michael Hagmann, Philipp Meier, Stefan Riezler:
Towards Inferential Reproducibility of Machine Learning Research. ICLR 2023 - [c79]Rebekka Hubert, Artem Sokolov, Stefan Riezler:
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. IWSLT@ACL 2023: 89-101 - [i51]Michael Hagmann, Stefan Riezler:
Towards Inferential Reproducibility of Machine Learning Research. CoRR abs/2302.04054 (2023) - [i50]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 abs/2307.06082 (2023) - [i49]Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler:
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training. CoRR abs/2307.08416 (2023) - [i48]Rebekka Hubert, Artem Sokolov, Stefan Riezler:
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. CoRR abs/2307.08426 (2023) - [i47]Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler:
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap. CoRR abs/2308.16060 (2023) - [i46]Michael Hagmann, Shigehiko Schamoni, Stefan Riezler:
Validity problems in clinical machine learning by indirect data labeling using consensus definitions. CoRR abs/2311.03037 (2023) - 2022
- [c78]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: 245-254 - [c77]Raphael Schumann, Stefan Riezler:
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas. ACL (1) 2022: 7519-7532 - [c76]Mayumi Ohta, Julia Kreutzer, Stefan Riezler:
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. EMNLP (Demos) 2022: 50-59 - [c75]Shigehiko Schamoni, Michael Hagmann, Stefan Riezler:
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. MLHC 2022: 123-145 - [i45]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation. CoRR abs/2203.08757 (2022) - [i44]Raphael Schumann, Stefan Riezler:
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas. CoRR abs/2203.13838 (2022) - [i43]Shigehiko Schamoni, Michael Hagmann, Stefan Riezler:
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. CoRR abs/2209.00439 (2022) - [i42]Mayumi Ohta, Julia Kreutzer, Stefan Riezler:
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. CoRR abs/2210.02545 (2022) - [i41]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation. CoRR abs/2210.15398 (2022) - 2021
- [b2]Stefan Riezler, Michael Hagmann:
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01055-2, pp. 1-165 - [c74]Raphael Schumann, Stefan Riezler:
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. ACL/IJCNLP (1) 2021: 489-502 - [c73]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP 2021: 37-43 - [c72]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: 8216-8224 - [c71]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Cascaded Models with Cyclic Feedback for Direct Speech Translation. ICASSP 2021: 7508-7512 - [c70]Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler:
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. Interspeech 2021: 1299-1303 - [i40]Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler:
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR. CoRR abs/2104.01393 (2021) - [i39]Michael Staniek, Stefan Riezler:
Error-Aware Interactive Semantic Parsing of OpenStreetMap. CoRR abs/2106.11739 (2021) - [i38]Michael Hagmann, Stefan Riezler:
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning. CoRR abs/2106.12417 (2021) - [i37]Nathaniel Berger, Stefan Riezler, Artem Sokolov, Sebastian Ebert:
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. CoRR abs/2109.07926 (2021) - 2020
- [c69]Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler:
Embedding Meta-Textual Information for Improved Learning to Rank. COLING 2020: 5558-5568 - [c68]Julia Kreutzer, Nathaniel Berger, Stefan Riezler:
Correct Me If You Can: Learning from Error Corrections and Markings. EAMT 2020: 135-144 - [c67]Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler:
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition. LREC 2020: 3590-3594 - [c66]Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler:
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. LOD (2) 2020: 39-64 - [i36]Julia Kreutzer, Nathaniel Berger, Stefan Riezler:
Correct Me If You Can: Learning from Error Corrections and Markings. CoRR abs/2004.11222 (2020) - [i35]Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler:
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. CoRR abs/2006.01759 (2020) - [i34]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Cascaded Models With Cyclic Feedback For Direct Speech Translation. CoRR abs/2010.11153 (2020) - [i33]Toshitaka Kuwa, Shigehiko Schamoni, Stefan Riezler:
Embedding Meta-Textual Information for Improved Learning to Rank. CoRR abs/2010.16313 (2020) - [i32]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. CoRR abs/2011.02511 (2020) - [i31]Raphael Schumann, Stefan Riezler:
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. CoRR abs/2012.15329 (2020)
2010 – 2019
- 2019
- [j12]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) - [j11]Laura Jehl, Carolin Lawrence, Stefan Riezler:
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. Trans. Assoc. Comput. Linguistics 7: 233-248 (2019) - [c65]Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. ACL (1) 2019: 303-315 - [c64]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. EMNLP/IJCNLP (3) 2019: 109-114 - [c63]Philipp Wiesenbach, Stefan Riezler:
Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs. IWSLT 2019 - [c62]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. MTSummit (1) 2019: 96-106 - [i30]Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler:
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation. CoRR abs/1907.02326 (2019) - [i29]Laura Jehl, Carolin Lawrence, Stefan Riezler:
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. CoRR abs/1907.03748 (2019) - [i28]Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. CoRR abs/1907.05190 (2019) - [i27]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. CoRR abs/1907.12484 (2019) - [i26]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 abs/1909.09557 (2019) - [i25]Benjamin Beilharz, Xin Sun, Sariya Karimova, Stefan Riezler:
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition. CoRR abs/1910.07924 (2019) - 2018
- [j10]Sariya Karimova, Patrick Simianer, Stefan Riezler:
A user-study on online adaptation of neural machine translation to human post-edits. Mach. Transl. 32(4): 309-324 (2018) - [c61]Julia Kreutzer, Joshua Uyheng, Stefan Riezler:
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. ACL (1) 2018: 1777-1788 - [c60]Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. ACL (1) 2018: 1820-1830 - [c59]Laura Jehl, Stefan Riezler:
Document-Level Information as Side Constraints for Improved Neural Patent Translation. AMTA (1) 2018: 1-12 - [c58]Shigehiko Schamoni, Julian Hitschler, Stefan Riezler:
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions. AMTA (1) 2018: 140-153 - [c57]Tsz Kin Lam, Julia Kreutzer, Stefan Riezler:
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. EAMT 2018: 189-198 - [c56]Phillip Richter-Pechanski, Stefan Riezler, Christoph Dieterich:
De-Identification of German Medical Admission Notes. GMDS 2018: 165-169 - [c55]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? NAACL-HLT (3) 2018: 92-105 - [i24]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? CoRR abs/1804.05958 (2018) - [i23]Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. CoRR abs/1805.01252 (2018) - [i22]Tsz Kin Lam, Julia Kreutzer, Stefan Riezler:
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. CoRR abs/1805.01553 (2018) - [i21]Julia Kreutzer, Joshua Uyheng, Stefan Riezler:
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. CoRR abs/1805.10627 (2018) - [i20]Artem Sokolov, Julian Hitschler, Stefan Riezler:
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. CoRR abs/1806.04458 (2018) - [i19]Carolin Lawrence, Stefan Riezler:
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. CoRR abs/1811.12239 (2018) - 2017
- [c54]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. ACL (1) 2017: 1503-1513 - [c53]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. EMNLP 2017: 2566-2576 - [c52]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: 514-524 - [i18]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. CoRR abs/1704.06497 (2017) - [i17]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. CoRR abs/1707.09050 (2017) - [i16]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. CoRR abs/1707.09118 (2017) - [i15]Carolin Lawrence, Pratik Gajane, Stefan Riezler:
Counterfactual Learning for Machine Translation: Degeneracies and Solutions. CoRR abs/1711.08621 (2017) - [i14]Sariya Karimova, Patrick Simianer, Stefan Riezler:
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits. CoRR abs/1712.04853 (2017) - 2016
- [j9]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: 159-168 (2016) - [c51]Julian Hitschler, Shigehiko Schamoni, Stefan Riezler:
Multimodal Pivots for Image Caption Translation. ACL (1) 2016 - [c50]Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler:
Learning Structured Predictors from Bandit Feedback for Interactive NLP. ACL (1) 2016 - [c49]Carolin Lawrence, Stefan Riezler:
NLmaps: A Natural Language Interface to Query OpenStreetMap. COLING (Demos) 2016: 6-10 - [c48]Patrick Simianer, Sariya Karimova, Stefan Riezler:
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation. COLING (Demos) 2016: 16-20 - [c47]Laura Jehl, Stefan Riezler:
Learning to translate from graded and negative relevance information. COLING 2016: 3156-3166 - [c46]Vera Boteva, Demian Gholipour Ghalandari, Artem Sokolov, Stefan Riezler:
A Full-Text Learning to Rank Dataset for Medical Information Retrieval. ECIR 2016: 716-722 - [c45]Carolin Haas, Stefan Riezler:
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap. HLT-NAACL 2016: 740-750 - [c44]Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo:
Stochastic Structured Prediction under Bandit Feedback. NIPS 2016: 1489-1497 - [e1]Yoav Goldberg, Stefan Riezler:
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, CoNLL 2016, Berlin, Germany, August 11-12, 2016. ACL 2016, ISBN 978-1-945626-19-7 [contents] - [i13]Julian Hitschler, Stefan Riezler:
Multimodal Pivots for Image Caption Translation. CoRR abs/1601.03916 (2016) - [i12]Artem Sokolov, Stefan Riezler, Tanguy Urvoy:
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation. CoRR abs/1601.04468 (2016) - [i11]Artem Sokolov, Julia Kreutzer, Stefan Riezler:
Stochastic Structured Prediction under Bandit Feedback. CoRR abs/1606.00739 (2016) - 2015
- [c43]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. CoNLL 2015: 1-11 - [c42]Katharina Wäschle, Stefan Riezler:
Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation. EAMT 2015 - [c41]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
Coactive Learning for Interactive Machine Translation. MLIS@ICML 2015: 41-45 - [c40]Laura Jehl, Patrick Simianer, Julian HIrschler, Stefan Riezler:
The Heidelberg University English-German translation system for IWSLT 2015. IWSLT (Evaluation Campaign) 2015 - [c39]Artem Sokolov, Stefan Riezler, Tanguy Urvoy:
Bandit structured prediction for learning from partial feedback in statistical machine translation. MTSummit 2015 - [c38]Felix Hieber, Stefan Riezler:
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval. HLT-NAACL 2015: 1172-1182 - [c37]Carolin Haas, Stefan Riezler:
Response-based Learning for Machine Translation of Open-domain Database Queries. HLT-NAACL 2015: 1339-1344 - [c36]Shigehiko Schamoni, Stefan Riezler:
Combining Orthogonal Information in Large-Scale Cross-Language Information Retrieval. SIGIR 2015: 943-946 - [c35]Julia Kreutzer, Shigehiko Schamoni, Stefan Riezler:
QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. WMT@EMNLP 2015: 316-322 - 2014
- [j8]Stefan Riezler:
On the Problem of Theoretical Terms in Empirical Computational Linguistics. Comput. Linguistics 40(1): 235-245 (2014) - [j7]Nicola Bertoldi, Patrick Simianer, Mauro Cettolo, Katharina Wäschle, Marcello Federico, Stefan Riezler:
Online adaptation to post-edits for phrase-based statistical machine translation. Mach. Transl. 28(3-4): 309-339 (2014) - [c34]Shigehiko Schamoni, Felix Hieber, Artem Sokolov, Stefan Riezler:
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. ACL (2) 2014: 488-494 - [c33]Stefan Riezler, Patrick Simianer, Carolin Haas:
Response-based Learning for Grounded Machine Translation. ACL (1) 2014: 881-891 - [c32]Sariya Karimova, Patrick Simianer, Stefan Riezler:
Offline extraction of overlapping phrases for hierarchical phrase-based translation. IWSLT 2014 - [c31]Artem Sokolov, Felix Hieber, Stefan Riezler:
Learning to translate queries for CLIR. SIGIR 2014: 1179-1182 - 2013
- [j6]Éva Mújdricza-Maydt, Huiqin Körkel-Qu, Stefan Riezler, Sebastian Padó:
High-Precision Sentence Alignment by Bootstrapping from Wood Standard Annotations. Prague Bull. Math. Linguistics 99: 5-16 (2013) - [c30]Felix Hieber, Laura Jehl, Stefan Riezler:
Task Alternation in Parallel Sentence Retrieval for Twitter Translation. ACL (2) 2013: 323-327 - [c29]Artem Sokolov, Laura Jehl, Felix Hieber, Stefan Riezler:
Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings. EMNLP 2013: 1688-1699 - [c28]Patrick Simianer, Laura Jehl, Stefan Riezler:
The Heidelberg University machine translation systems for IWSLT2013. IWSLT (Evaluation Campaign) 2013 - [c27]Katharina Wäschle, Patrick Simianer, Nicola Bertoldi, Stefan Riezler, Marcello Federico:
Generative and Discriminative Methods for Online Adaptation in SMT. MTSummit 2013 - [c26]Patrick Simianer, Gesa Stupperich, Laura Jehl, Katharina Wäschle, Artem Sokolov, Stefan Riezler:
The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. NTCIR 2013 - [c25]Patrick Simianer, Stefan Riezler:
Multi-Task Learning for Improved Discriminative Training in SMT. WMT@ACL 2013: 292-300 - 2012
- [c24]Patrick Simianer, Stefan Riezler, Chris Dyer:
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT. ACL (1) 2012: 11-21 - [c23]Katharina Wäschle, Stefan Riezler:
Structural and Topical Dimensions in Multi-Task Patent Translation. EACL 2012: 818-828 - [c22]Katharina Wäschle, Stefan Riezler:
Analyzing Parallelism and Domain Similarities in the MAREC Patent Corpus. IRFC 2012: 12-27 - [c21]Laura Jehl, Felix Hieber, Stefan Riezler:
Twitter Translation using Translation-Based Cross-Lingual Retrieval. WMT@NAACL-HLT 2012: 410-421 - 2011
- [j5]Patrick Simianer, Katharina Wäschle, Stefan Riezler:
Multi-Task Minimum Error Rate Training for SMT. Prague Bull. Math. Linguistics 96: 99-108 (2011) - [c20]Felix Hieber, Stefan Riezler:
Improved answer ranking in social question-answering portals. SMUC 2011: 19-26 - 2010
- [j4]Stefan Riezler, Yi Liu:
Query Rewriting Using Monolingual Statistical Machine Translation. Comput. Linguistics 36(3): 569-582 (2010) - [c19]Fabio De Bona, Stefan Riezler, Keith B. Hall, Massimiliano Ciaramita, Amac Herdagdelen, Maria Holmqvist:
Learning Dense Models of Query Similarity from User Click Logs. HLT-NAACL 2010: 474-482 - [c18]Amac Herdagdelen, Massimiliano Ciaramita, Daniel Mahler, Maria Holmqvist, Keith B. Hall, Stefan Riezler, Enrique Alfonseca:
Generalized syntactic and semantic models of query reformulation. SIGIR 2010: 283-290
2000 – 2009
- 2008
- [j3]Aoife Cahill, Michael Burke, Ruth O'Donovan, Stefan Riezler, Josef van Genabith, Andy Way:
Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation. Comput. Linguistics 34(1): 81-124 (2008) - [c17]Stefan Riezler, Yi Liu, Alexander Vasserman:
Translating Queries into Snippets for Improved Query Expansion. COLING 2008: 737-744 - 2007
- [c16]Stefan Riezler, Alexander Vasserman, Ioannis Tsochantaridis, Vibhu O. Mittal, Yi Liu:
Statistical Machine Translation for Query Expansion in Answer Retrieval. ACL 2007 - 2006
- [j2]Stefan Riezler:
New Developments in Parsing Technology. Comput. Linguistics 32(3): 439-442 (2006) - [c15]Stefan Riezler, John T. Maxwell III:
Grammatical Machine Translation. HLT-NAACL 2006 - 2005
- [c14]Stefan Riezler, John T. Maxwell III:
On Some Pitfalls in Automatic Evaluation and Significance Testing for MT. IEEvaluation@ACL 2005: 57-64 - 2004
- [c13]Stefan Riezler, Alexander Vasserman:
Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling. EMNLP 2004: 174-181 - [c12]Ronald M. Kaplan, Stefan Riezler, Tracy Holloway King, John T. Maxwell III, Alexander Vasserman, Richard S. Crouch:
Speed and Accuracy in Shallow and Deep Stochastic Parsing. HLT-NAACL 2004: 97-104 - 2003
- [c11]Tracy Holloway King, Richard S. Crouch, Stefan Riezler, Mary Dalrymple, Ronald M. Kaplan:
The PARC 700 Dependency Bank. LINC@EACL 2003 - [c10]Stefan Riezler, Tracy Holloway King, Richard S. Crouch, Annie Zaenen:
Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar. HLT-NAACL 2003 - 2002
- [j1]Mark Johnson, Stefan Riezler:
Statistical models of syntax learning and use. Cogn. Sci. 26(3): 239-253 (2002) - [c9]Stefan Riezler, Tracy Holloway King, Ronald M. Kaplan, Richard S. Crouch, John T. Maxwell III, Mark Johnson:
Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques. ACL 2002: 271-278 - 2000
- [c8]Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark Johnson:
Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training. ACL 2000: 480-487 - [c7]Mark Johnson, Stefan Riezler:
Exploiting auxiliary distributions in stochastic unification-based grammars. ANLP 2000: 154-161 - [c6]Detlef Prescher, Stefan Riezler, Mats Rooth:
Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution. COLING 2000: 649-655 - [i10]Mark Johnson, Stuart Geman, Stephen Canon, Zhiyi Chi, Stefan Riezler:
Estimators for Stochastic "Unification-Based" Grammars. CoRR cs.CL/0008028 (2000) - [i9]Mark Johnson, Stefan Riezler:
Exploiting auxiliary distributions in stochastic unification-based grammars. CoRR cs.CL/0008029 (2000) - [i8]Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark Johnson:
Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training. CoRR cs.CL/0008034 (2000) - [i7]Detlef Prescher, Stefan Riezler, Mats Rooth:
Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution. CoRR cs.CL/0008035 (2000) - [i6]Stefan Riezler:
Probabilistic Constraint Logic Programming. Formal Foundations of Quantitative and Statistical Inference in Constraint-Based Natural Language Processing. CoRR cs.CL/0008036 (2000)
1990 – 1999
- 1999
- [b1]Stefan Riezler:
Probabilistic constraint logic programming: formal foundations of quantitative and statistical inference in constrained based natural language processing. University of Tübingen, Germany, 1999, pp. 1-142 - [c5]Mats Rooth, Stefan Riezler, Detlef Prescher:
Inducing a Semantically Annotated Lexicon via EM-Based Clustering. ACL 1999: 104-111 - [c4]Franz Beil, Glenn Carroll, Detlef Prescher, Stefan Riezler, Mats Rooth:
Inside-Outside Estimation of a Lexicalized PCFG for German. ACL 1999: 269-276 - [c3]Mark Johnson, Stuart Geman, Stephen Canon, Zhiyi Chi, Stefan Riezler:
Estimators for Stochastic "Unification-Based" Grammars. ACL 1999: 535-541 - [c2]Stefan Riezler:
Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation. Learning Language in Logic 1999: 199-217 - [i5]Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn Carroll, Franz Beil:
Inducing a Semantically Annotated Lexicon via EM-Based Clustering. CoRR cs.CL/9905008 (1999) - [i4]Franz Beil, Glenn Carroll, Detlef Prescher, Stefan Riezler, Mats Rooth:
Inside-Outside Estimation of a Lexicalized PCFG for German. CoRR cs.CL/9905009 (1999) - [i3]Stefan Riezler:
Statistical Inference and Probabilistic Modelling for Constraint-Based NLP. CoRR cs.CL/9905010 (1999) - 1997
- [i2]Stefan Riezler:
Quantitative Constraint Logic Programming for Weighted Grammar Applications. CoRR cmp-lg/9705006 (1997) - [i1]Stefan Riezler:
Probabilistic Constraint Logic Programming. CoRR cmp-lg/9711001 (1997) - 1996
- [c1]Stefan Riezler:
Quantitative Constraint Logic Programming for Weighted Grammar Applications. LACL 1996: 346-365
Coauthor Index
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