This paper has the goal of presenting a procedure to design composite indicators that can be used for the analysis of experimental stimuli. An assessment of the extent to which matched taste and shape stimuli share a common semantic space shows the practical usefulness of the procedure. The ...
age of acquisitionsemantic memoryrecallworld frequencylexical processingThe two experiments presented here study perceptual processes implemented by chess players in situations related to their domain of expertise. The aim was to determine how patterns are perceived as a function of their strategic value ...
Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with the interaction between computers and humans in natural language. NLP is concerned with the development of algorithms and statistical models that enable computers to process, understand, and generate natural...
Semantic Scholar ResearchGate kns.cnki.net 学术范 dpi-proceedings.com (全网免费下载) 查看更多 参考文献Encoding Natural Movement as an Agent-Based System: An Investigation into Human Pedestrian Behaviour in the Built Environment Gibson's ecological theory of perception has received considerable attention ...
in the course of the free associative experiment. The obtained associates were distributed into culturally significant thematic groups. The main thesis of this study is that the meaningfulness of the image of the Arctic and the North is in many respects determined by key ideas present in the coll...
The concept’s core thinking lies in the radical change of product semantic (language), which focuses on the connection between product and culture [43]. It shows how product semantic as an interlanguage that creates its product value through the reflection of society, culture, and trend are ...
Semantic and episodic memory Declarative memory that refers to consciously remembering information, can be divided into semantic and episodic memory. Semantic memory accounts for remembering information related to language, such as words (Psychology 2e, n.d.). Following that, this type of memory refer...
Word2Vec: This model represents words as vectors in a high-dimensional space, allowing for semantic relationships to be captured. BERT: This model uses a multi-layer perceptron to predict the next word in a sequence, allowing for contextualized representations of words. ...