CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
A large dataset of semantic ratings and its computational extension
Shaonan Wang1; Yunhao Zhang1; Weiting Shi3; Guangyao Zhang3; Jiajun Zhang1; Nan Lin3; Chengqing Zong1
Source PublicationSCIENTIFIC DATA
AbstractEvidence from psychology and cognitive neuroscience indicates that the human brain’s semantic system contains several specific subsystems, each representing a particular dimension of semantic information. Word ratings on these different semantic dimensions can help investigate the behavioral and neural impacts of semantic dimensions on language processes and build computational representations of language meaning according to the semantic space of the human cognitive system. Existing semantic rating databases provide ratings for hundreds to thousands of words, which can hardly support a comprehensive semantic analysis of natural texts or speech. This article reports a large database, the Six Semantic Dimension Database (SSDD), which contains subjective ratings for 17,940 commonly used Chinese words on six major semantic dimensions: vision, motor, socialness, emotion, time, and space. Furthermore, using computational models to learn the mapping relations between subjective ratings and word embeddings, we include the estimated semantic ratings for 1,427,992 Chinese and 1,515,633 English words in the SSDD. The SSDD will aid studies on natural language processing, text analysis, and semantic representation in the brain.
Document Type期刊论文
3.Institute of Psychology
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shaonan Wang,Yunhao Zhang,Weiting Shi,et al. A large dataset of semantic ratings and its computational extension[J]. SCIENTIFIC DATA,10(1).
APA Shaonan Wang.,Yunhao Zhang.,Weiting Shi.,Guangyao Zhang.,Jiajun Zhang.,...&Chengqing Zong.
MLA Shaonan Wang,et al."A large dataset of semantic ratings and its computational extension".SCIENTIFIC DATA 10.1
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