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SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media. (arXiv:2211.08447v2 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
The goal of sexism detection is to mitigate negative online content targeting
certain gender groups of people. However, the limited availability of labeled
sexism-related datasets makes it problematic to identify online sexism for
low-resource languages. In this paper, we address the task of automatic sexism
detection in social media for one low-resource language -- Chinese. Rather than
collecting new sexism data or building cross-lingual transfer learning models,
we develop a cross-lingual domain-aware semantic specialisation system in order
to make the …
arxiv chinese cross-lingual detection media semantic sexism social social media word embeddings