---
title: "Who cites Marieke van Erp — 223 papers of our library"
description: "223 papers of the Elamur Research library cite the works of Marieke van Erp, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/marieke-van-erp/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marieke-van-erp/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Marieke van Erp](https://md.research.elamur.ai/free/en/authors/marieke-van-erp/) / cited by

# Who cites Marieke van Erp

223 citations of their works from 223 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · [← Marieke van Erp](https://md.research.elamur.ai/free/en/authors/marieke-van-erp/)

1. **[BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen*2020 · 1,144 citations*
2. **[ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.*2023 · 422 citations*
3. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations*
4. **[Pooled Contextualized Embeddings for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/akbik-2019-pooled-contextualized-embeddings-named-entity/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alan Akbik, Tanja Bergmann, Roland Vollgraf*2019 · 385 citations*
5. **[Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Guangwei Xu, Yulin Chen, et al.*2021 · 336 citations*
6. **[Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Yang, Arzoo Katiyar*2020 · 292 citations*
7. **[Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutai Hou, Wanxiang Che, Yongkui Lai, et al.*2020 · 265 citations*
8. **[CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.*2022 · 234 citations*
9. **[Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning](https://md.research.elamur.ai/free/en/papers/wang-2021-improving-named-entity-recognition-external/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Wang, Yong Jiang, Nguyen Bach, et al.*2021 · 206 citations*
10. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*
11. **[SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 190 citations*
12. **[MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/malmasi-2022-multiconer-large-scale-multilingual-dataset/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 181 citations*
13. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 152 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
14. **[What to Pre-Train on? Efficient Intermediate Task Selection](https://md.research.elamur.ai/free/en/papers/poth-2021-what-pre-train-efficient-intermediate/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.*2021 · 132 citations*
15. [**GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction arXiv:2310.03668**Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/sainz-2023-gollie-annotation-guidelines-improve-zero/)
16. **[Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture](https://md.research.elamur.ai/free/en/papers/meng-2017-temporal-information-extraction-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanliang Meng, Anna Rumshisky, Alexey Romanov*2017 · 86 citations*
17. **[KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/li-2024-knowcoder-coding-structured-knowledge-into/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Li, Yutao Zeng, Yuxin Zuo, et al.*2024 · 68 citations*
18. **[Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions](https://md.research.elamur.ai/free/en/papers/ramisch-2020-edition-1-2-parseme-shared/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Carlos Ramisch, Agata Savary, Bruno Guillaume, et al.*2020 · 43 citations*
19. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 33 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
20. **[The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018](https://md.research.elamur.ai/free/en/papers/janke-2018-university-texas-system-submission-code/) [Workshop on Computational Approaches to Linguistic Code-Switching](https://md.research.elamur.ai/free/en/venues/calcs/)**Florian Janke, Tongrui Li, Eric Rincón, et al.*2018 · 4 citations*
21. [**Computational Approaches to Arabic-English Code-Switching arXiv:2410.13318**Caroline Sabty*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/sabty-2024-computational-approaches-arabic-english-code/)
22. **[Evaluating the Adaptability of Large Language Models to Linguistic Variation](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*

201 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/marieke-van-erp/) — Marieke van Erp
