With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …

Evidence from psychology and cognitive neuroscience indicates that the human brain's
semantic system contains several specific subsystems, each representing a particular …

The neural representation of concepts is a focus of many cognitive neuroscience studies.
Prior works studying concept representation with neural imaging data have been largely …

Building computational models to account for the cortical representation of language plays
an important role in understanding the human linguistic system. Recent progress in …

In this paper we address the problem of learning multimodal word representations by
integrating textual, visual and auditory inputs. Inspired by the re-constructive and associative …

Multimodal models have been proven to outperform text-based models on learning semantic
word representations. Almost all previous multimodal models typically treat the …

摘要语言理解是认知科学和计算机科学交叉领域共同关心的问题, 但两个学科在选择具体研究
问题时却十分不同. 认知科学领域的研究侧重解析大脑的工作机制, 更多地关注于描述大脑对 …

Distributional semantic models (DSMs) generally require sufficient examples for a word to
learn a high quality representation. This is in stark contrast with human who can guess the …

人脑如何表征语义信息一直以来是认知神经科学的核心问题. 传统研究主要通过人为操纵刺激
属性或任务要求等实验方法来定位语义表征脑区, 这类方法虽然取得了诸多成果 …

Language understanding is a key scientific issue in the fields of cognitive and computer
science. However, the two disciplines differ substantially in the specific research questions …