Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation-Reference-Cited by-同舟云学术

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Huang Jiaxin¹,Meng Yu¹,Han Jiawei¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Funder

AI Research Institutes program supported by NSF

Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE) by NSF

Microsoft Research PhD Fellowship

US DARPA KAIROS Program

INCAS Program

Google PhD Fellowship

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539443

Reference57 articles.

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2. Shuang Chen Jinpeng Wang Feng Jiang and Chin-Yew Lin. 2020 b. Improving Entity Linking by Modeling Latent Entity Type Information. In AAAI. Shuang Chen Jinpeng Wang Feng Jiang and Chin-Yew Lin. 2020 b. Improving Entity Linking by Modeling Latent Entity Type Information. In AAAI.

3. Tongfei Chen Yunmo Chen and Benjamin Van Durme. 2020 a. Hierarchical Entity Typing via Multi-level Learning to Rank. In ACL. Tongfei Chen Yunmo Chen and Benjamin Van Durme. 2020 a. Hierarchical Entity Typing via Multi-level Learning to Rank. In ACL.

4. Xiang Chen , Ningyu Zhang , Lei Li , Xin Xie , Shumin Deng , Chuanqi Tan , Fei Huang , Luo Si , and Huajun Chen . 2021 b. LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER. ArXiv , Vol. abs/ 2109 .00720 ( 2021 ). Xiang Chen, Ningyu Zhang, Lei Li, Xin Xie, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2021 b. LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER. ArXiv, Vol. abs/2109.00720 (2021).

5. Xiang Chen , Ningyu Zhang , Xin Xie , Shumin Deng , Yunzhi Yao , Chuanqi Tan , Fei Huang , Luo Si , and Huajun Chen . 2021 c. KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. ArXiv , Vol. abs/ 2104 .07650 ( 2021 ). Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2021 c. KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. ArXiv, Vol. abs/2104.07650 (2021).

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