CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer

• URL: http://arxiv.org/abs/2302.13201v1
• Date: Sun, 26 Feb 2023 00:57:29 GMT
• Title: CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer
• Authors: Ruolin Su, Zhongkai Sun, Sixing Lu, Chengyuan Ma, Chenlei Guo
• Abstract summary: We propose the attention-based Cross-LIngual Commonsense Knowledge transfER framework. CLICKER minimizes the performance gaps between English and non-English languages in commonsense question-answering tasks. CLICKER achieves remarkable improvements in the cross-lingual task for languages other than English.
• Score: 5.375217612596619
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent advances in cross-lingual commonsense reasoning (CSR) are facilitated by the development of multilingual pre-trained models (mPTMs). While mPTMs show the potential to encode commonsense knowledge for different languages, transferring commonsense knowledge learned in large-scale English corpus to other languages is challenging. To address this problem, we propose the attention-based Cross-LIngual Commonsense Knowledge transfER (CLICKER) framework, which minimizes the performance gaps between English and non-English languages in commonsense question-answering tasks. CLICKER effectively improves commonsense reasoning for non-English languages by differentiating non-commonsense knowledge from commonsense knowledge. Experimental results on public benchmarks demonstrate that CLICKER achieves remarkable improvements in the cross-lingual CSR task for languages other than English.

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