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Anzahl der Einträge: 12.

Artikel

Utama, Prasetya ; Weir, Nathaniel ; Basik, Fuat ; Binnig, Carsten ; Cetintemel, Ugur ; Hättasch, Benjamin ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Usta, Arif (2018)
An End-to-end Neural Natural Language Interface for Databases.
In: arXiv preprint arXiv:1804.00401
Artikel, Bibliographie

Konferenzveröffentlichung

Utama, Prasetya ; Bambrick, Joshua ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2022)
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization.
2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle, USA (10.07.2022-15.07.2022)
Konferenzveröffentlichung, Bibliographie

Stowe, Kevin ; Utama, Prasetya ; Gurevych, Iryna (2022)
IMPLI: Investigating NLI Models’ Performance on Figurative Language.
60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland (22.05.2022-27.05.2022)
Konferenzveröffentlichung, Bibliographie

Utama, Prasetya ; Moosavi, Nafise Sadat ; Sanh, Victor ; Gurevych, Iryna (2021)
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.
2021 Conference on Empirical Methods in Natural Language Processing. virtual Conference and Punta Cana, Dominican Republic (07.11.2021-11.11.2021)
Konferenzveröffentlichung, Bibliographie

Utama, Prasetya ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2020)
Towards Debiasing NLU Models from Unknown Biases.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). virtual Conference (16.11.2020-20.11.2020)
Konferenzveröffentlichung, Bibliographie

Utama, Prasetya ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2020)
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance.
The 58th annual meeting of the Association for Computational Linguistics (ACL 2020). virtual Conference (05.07.2020-10.07.2020)
Konferenzveröffentlichung, Bibliographie

Weir, Nathaniel ; Utama, Prasetya ; Galakatos, Alex ; Crotty, Andrew ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Cetintemel, Ugur ; Binnig, Carsten
Hrsg.: Maier, David ; Pottinger, Rachel ; Doan, AnHai ; Tan, Wang-Chiew ; Alawini, Abdussalam ; Ngo, Hung Q. (2020)
DBPal: A Fully Pluggable NL2SQL Training Pipeline.
SIGMOD/PODS '20: International Conference on Management of Data. virtual Conference (14.06.2020-19.06.2020)
doi: 10.1145/3318464.3380589
Konferenzveröffentlichung, Bibliographie

Weir, Nathaniel ; Crotty, Andrew ; Galakatos, Alex ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Cetintemel, Ugur ; Utama, Prasetya ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Binnig, Carsten (2019)
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
1st International Workshop on Conversational Access to Data (CAST) in conj. with the 45th International Conference on Very Large Data Bases (VLDB). Los Angeles, California, USA
Konferenzveröffentlichung, Bibliographie

Falke, Tobias ; Ribeiro, Leonardo F. R. ; Utama, Prasetya ; Dagan, Ido ; Gurevych, Iryna (2019)
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.
Florence, Italy (28.07.2019-02.08.2019)
Konferenzveröffentlichung, Bibliographie

Basik, Fuat ; Hättasch, Benjamin ; Ilkhechi, Amir ; Usta, Arif ; Ramaswamy, Shekar ; Utama, Prasetya ; Weir, Nathaniel ; Binnig, Carsten ; Cetintemel, Ugur (2018)
DBPal: A Learned NL-Interface for Databases.
Proceedings of the 2018 International Conference on Management of Data. New York, NY, USA
doi: 10.1145/3183713.3193562
Konferenzveröffentlichung, Bibliographie

Report

Moosavi, Nafise Sadat ; de Boer, Marcel ; Utama, Prasetya ; Gurevych, Iryna (2020)
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures.
doi: 10.48550/arXiv.2010.12510
Report, Bibliographie

Moosavi, Nafise Sadat ; Utama, Prasetya ; Rücklé, Andreas ; Gurevych, Iryna (2019)
Improving Generalization by Incorporating Coverage in Natural Language Inference.
doi: 10.48550/arXiv.1909.08940
Report, Bibliographie

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