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Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. (arXiv:2208.08797v2 [cs.CL] UPDATED)
Oct. 6, 2022, 1:16 a.m. | Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z Li, Yue Zhang
cs.CL updates on arXiv.org arxiv.org
The stance detection task aims to classify the stance toward given documents
and topics. Since the topics can be implicit in documents and unseen in
training data for zero-shot settings, we propose to boost the transferability
of the stance detection model by using sentiment and commonsense knowledge,
which are seldom considered in previous studies. Our model includes a graph
autoencoder module to obtain commonsense knowledge and a stance detection
module with sentiment and commonsense. Experimental results show that our model …
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