Prasetya Ajie Utama

According to our database1, Prasetya Ajie Utama authored at least 14 papers between 2017 and 2022.

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Bibliography

2022
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IMPLI: Investigating NLI Models' Performance on Figurative Language.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures.
CoRR, 2020

DBPal: A Fully Pluggable NL2SQL Training Pipeline.
Proceedings of the 2020 International Conference on Management of Data, 2020

Towards Debiasing NLU Models from Unknown Biases.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Improving Generalization by Incorporating Coverage in Natural Language Inference.
CoRR, 2019

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
CoRR, 2019

Bootstrapping an End-to-End Natural Language Interface for Databases.
Proceedings of the 2019 International Conference on Management of Data, 2019

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
An End-to-end Neural Natural Language Interface for Databases.
CoRR, 2018

DBPal: A Learned NL-Interface for Databases.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017


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