Aspect-Opinion Pair Extraction (AOPE) from Chinese financial texts is a specialized task in fine-grained text sentiment analysis. The main objective is to extract aspect terms and opinion terms simultaneously from a diverse range of financial texts. Previous studies have mainly focused on developing grid annotation schemes within grid-based models to facilitate this extraction process. However, these methods often rely on character-level (token-level) feature encoding, which may overlook the logical relationships between Chinese characters within words. To address this limitation, we propose a novel method called Graph-based Character-level Grid Tagging Scheme (GCGTS). The GCGTS method explicitly incorporates syntactic structure using Graph Convolutional Networks (GCN) and unifies the encoding of characters within the same syntactic semantic unit (Chinese word level). Additionally, we introduce an image convolutional structure into the grid model to better capture the local relationships between characters within evaluation units. This innovative structure reduces the excessive reliance on pre-trained language models and emphasizes the modeling of structure and local relationships, thereby improving the performance of the model on Chinese financial texts. Through comparative experiments with advanced models such as Synchronous Double-channel Recurrent Network (SDRN) and Grid Tagging Scheme (GTS), the proposed GCGTS model demonstrates significant improvements in performance.

翻译：从中文金融文本中提取方面-意见对（Aspect-Opinion Pair Extraction, AOPE）是细粒度文本情感分析中的一项专门任务，其主要目标是从多样化的金融文本中同时提取方面术语和意见术语。先前的研究主要集中于在基于网格的模型中开发网格标注方案以促进这一提取过程。然而，这些方法通常依赖于字符级（标记级）特征编码，可能忽略词语内部汉字之间的逻辑关系。为解决这一局限，我们提出一种新方法，称为基于图的字符级网格标注方案（Graph-based Character-level Grid Tagging Scheme, GCGTS）。GCGTS方法利用图卷积网络（Graph Convolutional Networks, GCN）明确融入句法结构，并对同一句法语义单元（中文词语级别）内的字符进行统一编码。此外，我们在网格模型中引入图像卷积结构，以更好地捕捉评价单元内字符之间的局部关系。这一创新结构减少了对预训练语言模型的过度依赖，强调对结构和局部关系的建模，从而提升了模型在中文金融文本上的性能。通过与先进模型（如同步双通道循环网络（Synchronized Double-channel Recurrent Network, SDRN）和网格标注方案（Grid Tagging Scheme, GTS））的对比实验，所提出的GCGTS模型在性能上展现了显著提升。