Target-Phrase Zero-Shot Stance Detection: Where Do We Stand?
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63751-3_3
Reference36 articles.
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3. Allaway, E., McKeown, K.: Zero-shot stance detection: paradigms and challenges. Front. Artif. Intell. 5, 1070429 (2023). https://doi.org/10.3389/frai.2022.1070429
4. Allaway, E., Srikanth, M., McKeown, K.: Adversarial learning for zero-shot stance detection on social media. In: Proc. of the 2021 NAACL: Human Language Technologies, pp. 4756–4767. ACL, Online (Jun 2021)
5. Barbieri, F., Camacho-Collados, J., Espinosa Anke, L., Neves, L.: TweetEval: Unified benchmark and comparative evaluation for tweet classification. In: Findings of the ACL: EMNLP 2020, pp. 1644–1650. ACL, Online (Nov 2020)
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