Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences | |
Shaonan Wang1,2; Jiajun Zhang1,2; Nan Lin3,4; Chengqing Zong1,2,5 | |
2020-04 | |
会议日期 | February 7, 2020 - February 12, 2020 |
会议地点 | New York, NY |
页码 | 9201-9208 |
国家 | United States |
英文摘要 | The relation between semantics and syntax and where they are represented in the neural level has been extensively debated in neurosciences. Existing methods use manually designed stimuli to distinguish semantic and syntactic information in a sentence that may not generalize beyond the experimental setting. This paper proposes an alternative framework to study the brain representation of semantics and syntax. Specifically, we embed the highly-controlled stimuli as objective functions in learning sentence representations and propose a disentangled feature representation model (DFRM) to extract semantic and syntactic information in sentences. This model can generate one semantic and one syntactic vector for each sentence. Then we associate these disentangled feature vectors with brain imaging data to explore brain representation of semantics and syntax. Results have shown that semantic feature is represented more robustly than syntactic feature across the brain including the default-mode, frontoparietal, visual networks, etc.. The brain representations of semantics and syntax are largely overlapped, but there are brain regions only sensitive to one of them. For instance, several frontal and temporal regions are specific to the semantic feature; parts of the right superior frontal and right inferior parietal gyrus are specific to the syntactic feature. |
产权排序 | 3 |
会议录 | The Thirty-Fourth AAAI Conference on Artificial Intelligence |
会议录出版者 | AAAI press |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/39322] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
通讯作者 | Chengqing Zong |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, CAS 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.CAS Key Laboratory of Behavioural Science, Institute of Psychology 4.Department of Psychology, University of Chinese Academy of Sciences 5.CAS Center for Excellence in Brain Science and Intelligence Technology |
推荐引用方式 GB/T 7714 | Shaonan Wang,Jiajun Zhang,Nan Lin,et al. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences[C]. 见:. New York, NY. February 7, 2020 - February 12, 2020. |
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