---
title: "Who cites Learning from Context or Names? — 70 citing papers"
description: "70 papers of the Elamur Research library cite «Learning from Context or Names? An Empirical Study on Neural Relation Extraction», found in…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning from Context or Names? An Empirical…](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/) / cited by

# Who cites «Learning from Context or Names? An Empirical Study on Neural Relation Extraction»

70 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Learning from Context or Names? An Empirical Study on Neural Relation Extraction»](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/)

1. **[Prompt-learning for Fine-grained Entity Typing](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ning Ding, Yulin Chen, Xu Han, et al.*2022 · 180 citations*
2. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Tan, Ruidan He, Lidong Bing, et al.*2022 · 169 citations*
3. **[CLEVE: Contrastive Pre-training for Event Extraction](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*
4. **[ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/qin-2021-erica-improving-entity-relation-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.*2021 · 139 citations*
5. **[An Improved Baseline for Sentence-level Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhou-2022-improved-baseline-sentence-level-relation/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Wenxuan Zhou, Muhao Chen*2022 · 124 citations*

65 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/) — Learning from Context or Names? An Empirical Study on Neural Relation Extraction