Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge-Reference-Cited by-同舟云学术

Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge

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:

Zhu Qinglin¹,Liang Bin¹,Sun Jingyi¹,Du Jiachen¹,Zhou Lanjun²,Xu Ruifeng³

Affiliation:

1. Harbin Institute of Technology, Shenzhen, Shenzhen, China

2. None, Shenzhen, China

3. Harbin Institute of Technology, Shenzhen & Peng Cheng Laboratory, Shenzhen, China

Funder

Shenzhen Foundational Research Funding

Shenzhen Science and Technology Program

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531807

Reference29 articles.

1. Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

2. Emily Allaway , Malavika Srikanth , and Kathleen McKeown . 2021. Adversarial Learning for Zero-Shot Stance Detection on Social Media . In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics , Online , 4756--4767. https://doi.org/10. 1865 3/v1/2021.naacl-main.379 Emily Allaway, Malavika Srikanth, and Kathleen McKeown. 2021. Adversarial Learning for Zero-Shot Stance Detection on Social Media. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Online, 4756--4767. https://doi.org/10.18653/v1/2021.naacl-main.379

3. Extractive Snippet Generation for Arguments

4. Stance Detection with Bidirectional Conditional Encoding

5. NLTK

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