[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2009-semantic-dependency-parsing-nombank-propbank/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection»

# Who cites «Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection»

12 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/zhao-2009-semantic-dependency-parsing-nombank-propbank/)

1. [A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models](https://arxiv.org/abs/2502.08660) *— 2025 · arXiv:2502.08660*
2. [Syntax Role for Neural Semantic Role Labeling](https://aclanthology.org/2021.cl-3.17/) *— 2021 · Computational Linguistics*
3. [A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling](https://aclanthology.org/D19-1541/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
4. [Semantic Role Labeling with Associated Memory Network](https://aclanthology.org/N19-1340/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
5. [A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?](https://aclanthology.org/C18-1233/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
6. [A Unified Syntax-aware Framework for Semantic Role Labeling](https://aclanthology.org/D18-1262/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
7. [Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network](https://aclanthology.org/P16-1131/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Shallow Discourse Parsing Using Convolutional Neural Network](https://aclanthology.org/K16-2010/) *— 2016 · Proceedings of the CoNLL-16 shared task*
9. [Grammatical Error Detection and Correction using a Single Maximum Entropy Model](https://aclanthology.org/W14-1710/) *— 2014 · Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task*
10. [Transition-based Semantic Role Labeling Using Predicate Argument Clustering](https://aclanthology.org/W11-0906/) *— 2011 · Proceedings of the ACL 2011 Workshop on Relational Models of Semantics*
11. [Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection](https://aclanthology.org/W10-3013/) *— 2010 · Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task*
12. li-2010-combining-constituent-dependency-syntactic-views
- [← previous Who cites «Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhang-2024-can-your-model-tell-negation/)
- [next → Who cites «Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
