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# Who cites «The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions»

5 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/lingbulk-2016-daiber-denoised-web-treebank-evaluating-dependency/)

1. [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*
2. [Modeling Input Uncertainty in Neural Network Dependency Parsing](https://aclanthology.org/D18-1542/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
3. [Parser Adaptation for Social Media by Integrating Normalization](https://aclanthology.org/P17-2078/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
4. [Parsing transcripts of speech](https://aclanthology.org/W17-4604/) *— 2017 · Proceedings of the Workshop on Speech-Centric Natural Language Processing*
5. [An Evaluation of Parser Robustness for Ungrammatical Sentences](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
- [← previous Who cites «Prepositional Phrase Attachment Problem Revisited: How VERBNET Can Help»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lingbulk-2015-bailey-prepositional-phrase-attachment-problem-revisited/)
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