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# Who cites «Cross-Domain Generalization of Neural Constituency Parsers»

21 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/acl-2019-fried-cross-domain-generalization-neural-constituency/)

1. [Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization](https://aclanthology.org/2025.coling-main.744/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
2. [Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization](https://aclanthology.org/2024.naacl-long.231/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
3. [Domain-Weighted Batch Sampling for Neural Dependency Parsing](https://aclanthology.org/2024.mwe-1.24/) *— 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024*
4. [Large Language Models Are No Longer Shallow Parsers](https://aclanthology.org/2024.acl-long.384/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [LLM-enhanced Self-training for Cross-domain Constituency Parsing](https://aclanthology.org/2023.emnlp-main.508/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
6. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
7. [Investigating Non-local Features for Neural Constituency Parsing](https://aclanthology.org/2022.acl-long.146/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [State-of-the-art generalisation research in NLP: A taxonomy and review](https://arxiv.org/abs/2210.03050) *— 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)*
9. [Bidirectional Domain Adaptation Using Weighted Multi-Task Learning](https://aclanthology.org/2021.iwpt-1.10/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
10. [Mind the Gap: Assessing Temporal Generalization in Neural Language Models](https://arxiv.org/abs/2102.01951) *— 2021 · arXiv:2102.01951*
11. [Video-aided Unsupervised Grammar Induction](https://aclanthology.org/2021.naacl-main.119/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
12. [CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems](https://aclanthology.org/2020.findings-emnlp.329/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
13. [Grounded PCFG Induction with Images](https://aclanthology.org/2020.aacl-main.42/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
14. [Improving Constituency Parsing with Span Attention](https://aclanthology.org/2020.findings-emnlp.153/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
15. [Improving Disfluency Detection by Self-Training a Self-Attentive Model](https://aclanthology.org/2020.acl-main.346/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
16. [Pretrained Transformers Improve Out-of-Distribution Robustness](https://arxiv.org/abs/2004.06100) *— 2020 · arXiv:2004.06100*
17. dakota-2021-genres-parsers-bert-interaction-between
18. dakota-2024-bits-pieces-investigating-effects-subwords
19. guo-2025-contrastive-learning-llm-back-generation
20. liang-2026-lexicalized-constituency-parsing-middle-dutch
21. misra-2024-nested-noun-phrase-identification-bert
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