Who cites «Cross-Domain Generalization of Neural Constituency Parsers»
- Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- 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)
- 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
- 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)
- LLM-enhanced Self-training for Cross-domain Constituency Parsing — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Challenges to Open-Domain Constituency Parsing — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- 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)
- State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
- 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)
- Mind the Gap: Assessing Temporal Generalization in Neural Language Models — 2021 · arXiv:2102.01951
- 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
- CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- 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
- Improving Constituency Parsing with Span Attention — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Improving Disfluency Detection by Self-Training a Self-Attentive Model — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Pretrained Transformers Improve Out-of-Distribution Robustness — 2020 · arXiv:2004.06100
- dakota-2021-genres-parsers-bert-interaction-between
- dakota-2024-bits-pieces-investigating-effects-subwords
- guo-2025-contrastive-learning-llm-back-generation
- liang-2026-lexicalized-constituency-parsing-middle-dutch
- misra-2024-nested-noun-phrase-identification-bert
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