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Exploring Zero-Shot And Joint Training Cross-Lingual Strategies For Aspect-Based Sentiment Analysis Based On Contextualized Multilingual Language Models, Dang Van Thin, Hung Quoc Ngo, Duong Ngoc Hao, Ngan Luu-Thuy-Nguyen
Exploring Zero-Shot And Joint Training Cross-Lingual Strategies For Aspect-Based Sentiment Analysis Based On Contextualized Multilingual Language Models, Dang Van Thin, Hung Quoc Ngo, Duong Ngoc Hao, Ngan Luu-Thuy-Nguyen
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Aspect-based sentiment analysis (ABSA) has attracted many researchers’ attention in recent years. However, the lack of benchmark datasets for specific languages is a common challenge because of the prohibitive cost of manual annotation. The zero-shot cross-lingual strategy can be applied to solve this gap in research. Moreover, previous works mainly focus on improving the performance of supervised ABSA with pre-trained languages. Therefore, there are few to no systematic comparisons of the benefits of multilingual models in zero-shot and joint training cross-lingual for the ABSA task. In this paper, we focus on the zero-shot and joint training cross-lingual transfer task for …