arXiv：cs.CL· Muhammad Imran, Ana Ezquerro, Carlos G\'omez-Rodr\'iguez, Anders S{\o}gaard, David Vilares·· 4 小时前
用序列标注做依存图解析的结构化情感分析
Structured Sentiment Analysis Using Sequence Labeling as Dependency Graph Parsing
AI 导读
该研究将结构化情感分析建模为依存图解析，但改用序列标注实现，借助线性化图编码为输入中每个词分配标签，从而还原情感持有者、目标和表达片段之间的关系图。在覆盖英语、西班牙语、挪威语、巴斯克语和加泰罗尼亚语五种语言的七个数据集上，该方法性能与更复杂的单模型领先方案相当。
正文
Abstract:This study addresses the problem of structured sentiment analysis, whose goal is to obtain a fine-grained sentiment graph where the nodes represent spans of sentiment holders, targets, and expressions, while the arcs define the relationships among them. Our proposed approach casts the task as dependency graph parsing, but departs from traditional parsing methods by solving it through sequence labeling. To do so, we leverage recent advances in linearized graph encodings that allow each word in the input to be assigned a label, effectively capturing the structure of the dependency graph. We conducted experiments on seven datasets spanning five languages (English, Spanish, Norwegian, Basque, and Catalan), showing performance competitive with leading, more complex single-model approaches.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.11695 [cs.CL] |
| (or arXiv:2610.11695v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.11695 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Muhammad Imran [view email]
[v1]
Thu, 8 Oct 2026 11:06:29 UTC (21,175 KB)
来源：arXiv：cs.CL · arxiv.org