April 23, 2024, 4:50 a.m. | Bharathi A, Arkaitz Zubiaga

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.14339v1 Announce Type: new
Abstract: Stance detection has been widely studied as the task of determining if a social media post is positive, negative or neutral towards a specific issue, such as support towards vaccines. Research in stance detection has however often been limited to a single language and, where more than one language has been studied, research has focused on few-shot settings, overlooking the challenges of developing a zero-shot cross-lingual stance detection model. This paper makes the first such …

abstract adversarial arxiv cross-lingual cs.cl detection however issue language media negative positive research social social media support type vaccines via zero-shot

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