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

1. Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalization — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
3. Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
4. Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
5. Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
6. Domain-Weighted Batch Sampling for Neural Dependency Parsing — 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024
7. Large Language Models Are No Longer Shallow Parsers — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
8. Nested Noun Phrase Identification Using BERT — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
9. LLM-enhanced Self-training for Cross-domain Constituency Parsing — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
10. Challenges to Open-Domain Constituency Parsing — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
11. Investigating Non-local Features for Neural Constituency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
12. State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
13. Bidirectional Domain Adaptation Using Weighted Multi-Task Learning — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
14. Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish — 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP
15. Mind the Gap: Assessing Temporal Generalization in Neural Language Models — 2021 · arXiv:2102.01951
16. Video-aided Unsupervised Grammar Induction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
17. CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
18. Grounded PCFG Induction with Images — 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
19. Improving Constituency Parsing with Span Attention — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
20. Improving Disfluency Detection by Self-Training a Self-Attentive Model — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
21. Pretrained Transformers Improve Out-of-Distribution Robustness — 2020 · arXiv:2004.06100