We present a computationally-grounded word similarity dataset based on two well-known Natural Language Processing resources; text corpora and knowledge bases. This dataset aims to fulfil a gap in psycholinguistic research by providing a variety of quantifications of semantic similarity in an extensive set of noun pairs controlled by variables that play a significant role in lexical processing. The dataset creation has consisted in three steps, 1) computing four key psycholinguistic features for each noun; concreteness, frequency, semantic and phonological neighbourhood density; 2) pairing nouns across these four variables; 3) for each noun pair, assigning three types of word similarity measurements, computed out of text, Wordnet and hybrid embeddings. The present dataset includes noun pairs' information in Basque and European Spanish, but further work intends to extend it to more languages.
翻译:我们提供了一份基于文本语料库和知识库的计算语义相似性数据集,旨在填补心理语言学研究中的空白,为大量名词对提供各种量化语义相似性的变量控制。数据集创建分三个步骤:1)对每个名词计算四个关键的心理语言学特征;具体性、频率、语义邻域密度和音系邻域密度;2)在这四个变量上匹配名词;3)为每个名词对分配通过文本、Wordnet和混合嵌入计算的三个类型的词相似度测量值。该数据集包括了巴斯克语和欧洲西班牙语的名词对信息,但进一步的工作意图将其扩展到更多的语种。