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--- nlp:brittleness_in_nlp [2021/04/29 06:46] – jmflanig
+++ nlp:brittleness_in_nlp [2023/06/15 07:36] (current) – external edit 127.0.0.1
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-====== Brittleness in NLP (and deep learning) ======
+See [[Robustness in NLP]].
-===== Papers =====
-  * [[https://arxiv.org/pdf/1707.07328.pdf|Jia and Liang 2017 - Adversarial Examples for Evaluating Reading Comprehension Systems]]
-  * [[https://arxiv.org/pdf/1803.02324.pdf|Gururangan et al 2018 - Annotation Artifacts in Natural Language Inference Data]]
-  * [[https://arxiv.org/pdf/1902.01007.pdf|McCoy et al 2019 - Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference]]
-  * [[https://arxiv.org/pdf/1805.01042.pdf|Poliak et al 2018 - Hypothesis Only Baselines in Natural Language Inference]]
-  * [[https://www.aclweb.org/anthology/P19-1610.pdf|Wee and Ng 2019 - Improving the Robustness of Question Answering Systems to Question Paraphrasing]]
-  * [[https://arxiv.org/pdf/2004.14004.pdf|Si et al 2020 - Benchmarking Robustness of Machine Reading Comprehension Models]]
-  * [[https://arxiv.org/pdf/1907.11932.pdf|Jin et al 2019 - Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment]]