2022
DOI: 10.48550/arxiv.2205.15514
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A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

Abstract: Structured sentiment analysis, which aims to extract the complex semantic structures such as holders, expressions, targets, and polarities, has obtained widespread attention from both industry and academia. Unfortunately, the existing structured sentiment analysis datasets refer to a few languages and are relatively small, limiting neural network models' performance. In this paper, we focus on the cross-lingual structured sentiment analysis task, which aims to transfer the knowledge from the source language to… Show more

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