Few-Shot Stance Detection via Target-Aware Prompt Distillation-Reference-Cited by-同舟云学术

Few-Shot Stance Detection via Target-Aware Prompt Distillation

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Jiang Yan¹,Gao Jinhua²,Shen Huawei¹,Cheng Xueqi³

Affiliation:

1. Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531979

Reference46 articles.

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3. Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

4. Commonsense Knowledge Enhanced Memory Network for Stance Classification

5. Jiachen Du , Ruifeng Xu , Yulan He , and Lin Gui . 2017 . Stance classification with target-specific neural attention networks . International Joint Conferences on Artificial Intelligence. Jiachen Du, Ruifeng Xu, Yulan He, and Lin Gui. 2017. Stance classification with target-specific neural attention networks. International Joint Conferences on Artificial Intelligence.

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