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We introduce CORE, a dataset for few-shot relation classification (RC) focused on company relations and business entities.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Exploring fine-grained entity type constraints for distantly supervised relation extraction
Yang Liu, Kang Liu, Liheng Xu, and Jun Zhao. 2014 · 2014
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Dbpedia - a large-scale, multilingual knowledge base extracted from wikipedia
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spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
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Prototypical Networks for Few-shot Learning
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Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
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FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2019 · 2019
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TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt, Aleksandra Gabryszak, and Leonhard Hennig. 2020 · 2020
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Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
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Meta-learning adversarial domain adaptation network for few-shot text classification
Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, and Aoying Zhou. 2021a · 2021
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Exploiting cloze-questions for few-shot text classification and natural language inference
Timo Schick and Hinrich Schütze. 2021 · 2021
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Knowledge-enhanced domain adaptation in few-shot relation classification
Jiawen Zhang, Jiaqi Zhu, Yi Yang, Wandong Shi, Congcong Zhang, and Hongan Wang. 2021 · 2021
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CrossRE: A cross-domain dataset for relation extraction
Elisa Bassignana and Barbara Plank. 2022 · 2022
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Ptr: Prompt tuning with rules for text classification
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, and Maosong Sun. 2022 · 2022
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How’s business going worldwide? a multilingual annotated corpus for business relation extraction
Hadjer Khaldi, Farah Benamara, Camille Pradel, Grégoire Sigel, and Nathalie Aussenac-Gilles. 2022 · 2022
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Jiale Han, Bo Cheng, and Wei Lu. 2021b · 2021
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Relation classification with entity type restriction
Shengfei Lyu and Huanhuan Chen. 2021 · 2021
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Clues: Few-shot learning evaluation in natural language understanding
Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, and Jianfeng Gao. 2021 · 2021
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Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
Ofer Sabo, Yanai Elazar, Yoav Goldberg, and Ido Dagan. 2021 · 2021
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Yuning Mao, Ming Zhong, and Jiawei Han. 2022 · 2022
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Adversarial soft prompt tuning for cross-domain sentiment analysis
Hui Wu and Xiaodong Shi. 2022 · 2022
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Improving few-shot relation classification by prototypical representation learning with definition text
Li Zhenzhen, Yuyang Zhang, Jian-Yun Nie, and Dongsheng Li. 2022 · 2022
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