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# Who cites «An Evaluation of Parser Robustness for Ungrammatical Sentences»

8 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/)

1. [ICLE-RC: International Corpus of Learner English for Relative Clauses](https://md.mova.elamur.ai/free/en/docs/papers/das-2025-icle-rc-international-corpus-learner/) *— our card · 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)*
2. [SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://aclanthology.org/2022.emnlp-main.162/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
3. [Evaluating the Morphosyntactic Well-formedness of Generated Texts](https://aclanthology.org/2021.emnlp-main.570/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
4. [Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness](https://aclanthology.org/N18-1179/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
6. [Neural Language Modeling by Jointly Learning Syntax and Lexicon](https://arxiv.org/abs/1711.02013) *— 2017 · arXiv:1711.02013*
7. li-2023-learning-mistakes-robust-neural-machine
8. wu-2021-variation-generality-encoding-syntactic-anomaly
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