分析希腊谚语情感，揭示其多维度情绪特征。
Proverbs or Pythian Oracles? Sentiments and Emotions in Greek Sayings
- 构建多标签标注框架，捕捉谚语情绪多样性。
- 发现愤怒与惊讶在谚语中并存且共现。
- 适合对语言文化、情感分析感兴趣的研究者。
谚语是跨越文化和语言边界的迷人语言现象，但全球范围内的谚语研究仍不充分，许多文化依赖口传传统保存其智慧。借助自然语言处理（NLP）进展，本文聚焦希腊谚语，分析其情感与情绪。基于已标注的希腊谚语数据集，(1) 提出一种多标签标注框架及相应数据集，捕捉谚语的情绪变异性；(2) 扩展至地方方言；(3) 绘制希腊情绪分布地图。研究发现，谚语的解读具有多维性，体现为多标签标注和实例级极性。大语言模型（LLMs）能够捕捉并再现这种复杂性，有助于更深入理解特定地区的谚语景观。以希腊为例，愤怒与惊讶在谚语中相互竞争又共存。
原文摘要 · Abstract (English)
Proverbs are among the most fascinating language phenomena that transcend cultural and linguistic boundaries. Yet, much of the global landscape of proverbs remains underexplored, as many cultures preserve their traditional wisdom within their own communities due to the oral tradition of the phenomenon. Taking advantage of the current advances in Natural Language Processing (NLP), we focus on Greek proverbs, analyzing their sentiment and emotion. Departing from an annotated dataset of Greek proverbs, (1) we propose a multi-label annotation framework and dataset that captures the emotional variability of the proverbs, (2) we up-scale to local varieties, (3) we sketch a map of Greece that provides an overview of the distribution of emotions. Our findings show that the interpretation of proverbs is multidimensional, a property manifested through both multi-labeling and instance-level polarity. LLMs can capture and reproduce this complexity, and can therefore help us better understand the proverbial landscape of a place, as in the case of Greece, where surprise and anger compete and coexist within proverbs.
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