---
title: "Who cites Extending a Parser to Distant Domains Using a…"
description: "The papers of the Elamur Research library that cite «Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Extending a Parser to Distant Domains Using a Few…](https://md.research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/) / cited by

# Who cites «Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples»

39 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/)

1. [A Survey of Deep Learning for Geometry Problem Solving](https://aclanthology.org/2026.acl-long.1829/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalization](https://aclanthology.org/2026.lrec-1.807/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing](https://aclanthology.org/2025.acl-long.1331/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains](https://aclanthology.org/2024.lrec-main.215/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [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*
6. [Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction](https://aclanthology.org/2024.icon-1.43/) *— 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
7. [AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction](https://aclanthology.org/2023.eacl-main.219/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
8. [CoRec: An Easy Approach for Coordination Recognition](https://aclanthology.org/2023.emnlp-main.934/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
9. [GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation](https://md.research.elamur.ai/free/en/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
10. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
11. [Improving Zero-Shot Event Extraction via Sentence Simplification](https://aclanthology.org/2022.case-1.5/) *— 2022 · Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)*
12. [Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text](https://aclanthology.org/2022.findings-acl.127/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
13. [Verb Phrase Anaphora:Do(ing) so with Heuristics](https://aclanthology.org/2022.icon-main.13/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
14. [arXivEdits: Understanding the Human Revision Process in Scientific Writing](https://aclanthology.org/2022.emnlp-main.641/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
15. [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)*
16. [Compositional Networks Enable Systematic Generalization for Grounded Language Understanding](https://aclanthology.org/2021.findings-emnlp.21/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
17. [Finding a Balanced Degree of Automation for Summary Evaluation](https://aclanthology.org/2021.emnlp-main.531/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish](https://aclanthology.org/2021.adaptnlp-1.7/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
19. [Learning Syntax from Naturally-Occurring Bracketings](https://aclanthology.org/2021.naacl-main.234/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
20. [Moving on from OntoNotes: Coreference Resolution Model Transfer](https://aclanthology.org/2021.emnlp-main.425/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [N-ary Constituent Tree Parsing with Recursive Semi-Markov Model](https://aclanthology.org/2021.acl-long.205/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [Constituency Lattice Encoding for Aspect Term Extraction](https://aclanthology.org/2020.coling-main.73/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
23. [Diverse and Relevant Visual Storytelling with Scene Graph Embeddings](https://aclanthology.org/2020.conll-1.34/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
24. [ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing](https://aclanthology.org/2020.semeval-1.83/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
25. [History for Visual Dialog: Do we really need it?](https://aclanthology.org/2020.acl-main.728/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
26. [Improving Compositional Generalization in Semantic Parsing](https://aclanthology.org/2020.findings-emnlp.225/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
27. [Improving Constituency Parsing with Span Attention](https://aclanthology.org/2020.findings-emnlp.153/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
28. [Multi-grained Chinese Word Segmentation with Weakly Labeled Data](https://aclanthology.org/2020.coling-main.183/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
29. [Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis](https://aclanthology.org/2020.emnlp-main.292/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
30. [What Meaning-Form Correlation Has to Compose With: A Study of MFC on Artificial and Natural Language](https://aclanthology.org/2020.coling-main.333/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
31. [doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset](https://aclanthology.org/2020.emnlp-main.652/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
32. [Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation](https://aclanthology.org/P19-1013/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
33. [Generalizing from a Few Examples: A Survey on Few-Shot Learning](https://arxiv.org/abs/1904.05046) *— 2019 · arXiv:1904.05046*
34. [Multilingual Constituency Parsing with Self-Attention and Pre-Training](https://aclanthology.org/P19-1340/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
35. [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing](https://aclanthology.org/W19-5034/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
36. [Semi-supervised Domain Adaptation for Dependency Parsing](https://aclanthology.org/P19-1229/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
37. [Text Genre and Training Data Size in Human-like Parsing](https://aclanthology.org/D19-1594/) *— 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)*
38. [Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis](https://aclanthology.org/D19-1379/) *— 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)*
39. [Dissecting Contextual Word Embeddings: Architecture and Representation](https://aclanthology.org/D18-1179/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*