A large dataset of semantic ratings and its computational extension
文献类型：期刊论文
| 作者 | Shaonan Wang3 ; Yunhao Zhang3; Weiting Shi2; Guangyao Zhang2; Jiajun Zhang3; Nan Lin2; Chengqing Zong3
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| 刊名 | SCIENTIFIC DATA
 |
| 卷号 | 10期号:1 |
| ISSN号 | 2052-4463 |
| 英文摘要 | Evidence 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. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51798]  |
| 专题 | 模式识别国家重点实验室_自然语言处理 |
| 作者单位 | 1.中国科学院大学 2.Institute of Psychology 3.中国科学院自动化研究所 |
| 推荐引用方式 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 |
入库方式： OAI收割
来源：自动化研究所
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