🔗 Who cites «Matching the Blanks: Distributional Similarity for Relation Learning»

294 papers of our library cite it (of the 140,884 whose bibliographies we read) · 13 with a page here, the most cited first · ← the paper

1. Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingYu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon2020 · 2,636 citations
2. SpanBERT: Improving Pre-training by Representing and Predicting SpansMandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,580 citations
3. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
4. Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,545 citations
5. How Can We Know What Language Models Know?Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020 · 1,493 citations
6. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citations
7. A Frustratingly Easy Approach for Entity and Relation ExtractionZexuan Zhong, Danqi Chen2020 · 629 citations
8. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 252 citations
9. TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskChristoph Alt, Aleksandra Gabryszak, Leonhard Hennig2020 · 212 citations
10. Entities as Experts: Sparse Memory Access with Entity SupervisionThibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.2020 · 205 citations
11. Temporal Relation Classification in HebrewGuy Yanko, Shahaf Pariente, Kfir Bar2023 · 2 citations
12. A Study on Building Efficient Zero-Shot Relation Extraction ModelsHugo THOMAS, Caio Corro, Guillaume Gravier, et al.2026
13. Contrastively Pre-trained Event Embeddings with Schema-free LLM AnnotationsFrank Mtumbuka, Steven Schockaert2026

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

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