---
title: "Who cites An Evaluation of Parser Robustness for…"
description: "The papers of the Elamur Research library that cite «An Evaluation of Parser Robustness for Ungrammatical Sentences», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/cited-by/"
---
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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.research.elamur.ai/free/en/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/)

1. [ICLE-RC: International Corpus of Learner English for Relative Clauses](https://md.research.elamur.ai/free/en/papers/das-2025-icle-rc-international-corpus-learner/) *— our card · 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)*
2. [Learning from Mistakes: Towards Robust Neural Machine Translation for Disfluent L2 Sentences](https://aclanthology.org/2023.mtsummit-research.20/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
3. [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*
4. [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*
5. [Variation and generality in encoding of syntactic anomaly information in sentence embeddings](https://aclanthology.org/2021.blackboxnlp-1.18/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
6. [Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples](https://md.research.elamur.ai/free/en/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [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)*
8. [Neural Language Modeling by Jointly Learning Syntax and Lexicon](https://arxiv.org/abs/1711.02013) *— 2017 · arXiv:1711.02013*