用大模型推断形容词上下位关系，增强开放英语同义词典连接性
Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet
- 基于语言模型预测形容词的上下位关系
- 构建了首个专门针对形容词的超类资源
- 方法可复用于其他词汇关系建模，适合知识图谱研究者
开放英语同义词典（Open English Wordnet）是作为语言链接开放数据云一部分发布的关键资源。然而，该资源中存在大量缺失的语义链接。本文探讨如何建立形容词之间的上下位关系。我们对上下位关系进行了理论分析，指出其与名词和动词的差异。通过构建新的形容词上下位资源，并微调大型语言模型以预测该关系，证明了TaxoLLaMa方法可成功应用于此任务。
原文摘要 · Abstract (English)
Open English Wordnet is a key resource published in OntoLex-lemon as part of the linguistic linked open data cloud. There are, however, many links missing in the resource, and in this paper, we look at how we can establish hypernymy between adjectives. We present a theoretical discussion of the hypernymy relation and how it differs for adjectives in contrast to nouns and verbs. We develop a new resource for adjective hypernymy and fine-tune large language models to predict adjective hypernymy, showing that the methodology of TaxoLLaMa can be adapted to this task.
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