Riezler, Stefan.
Stefan Riezler
VIAF ID: 27766217 (Personal)
Permalink: http://viaf.org/viaf/27766217
Preferred Forms
- 100 1 _ ‡a Riezler, Stefan
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- 100 1 _ ‡a Riezler, Stefan
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- 100 0 _ ‡a Stefan Riezler
4xx's: Alternate Name Forms (3)
5xx's: Related Names (5)
- 551 _ _ ‡a Heidelberg ‡4 ortw ‡4 https://d-nb.info/standards/elementset/gnd#placeOfActivity
- 510 2 _ ‡a Philo. : Neuphiloloschen Fakultät : Tübingen
- 510 2 _ ‡a Universität Heidelberg ‡b Institut für Computerlinguistik ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Universität Heidelberg ‡b Interdisziplinäres Zentrum für Wissenschaftliches Rechnen ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Universität Heidelberg
Works
Title | Sources |
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Binding without hierarchies | |
Can oracle-based imitation learning improveneural machine translation with dataaggregation? | |
Comprehensive Evaluation of Machine Learning Experiments: Algorithm Comparison, Algorithm Performance and Inferential Reproducibility | |
Document Meta-Information as Weak Supervision for Machine Translation | |
Dokument-Metainformation als schwaches Überwachungssignal für maschinelle Übersetzung | |
Kann Orakel-gestütztes Lernen durchImitation mit Datenaggregation neuronalemaschinelle Übersetzung verbessern? | |
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction | |
Probabilistic constraint logic programming / von Stefan Riezler. - Stuttgart, 1999. | |
Probablistic constraint logic programming : formal foundations of quantitative and statistical inference in constraint-based natural language processing | |
Reinforcement Learning for Machine Translation: from Simulations to Real-World Applications | |
Response-Based and Counterfactual Learning for Sequence-to-Sequence Tasks in NLP | |
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap | |
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science | |
Verstärkendes Lernen für Maschinelle Übersetzung: von Simulationen zu realen Anwendungen |