[HTML][HTML] Semantic memory: A review of methods, models, and current challenges
AA Kumar - Psychonomic Bulletin & Review, 2021 - Springer
Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …
system that consists of knowledge about the world, concepts, and symbols. Considerable …
Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions
Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
Hypothesis only baselines in natural language inference
We propose a hypothesis only baseline for diagnosing Natural Language Inference (NLI).
Especially when an NLI dataset assumes inference is occurring based purely on the …
Especially when an NLI dataset assumes inference is occurring based purely on the …
[HTML][HTML] The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
Sensorimotor information plays a fundamental role in cognition. However, the existing
materials that measure the sensorimotor basis of word meanings and concepts have been …
materials that measure the sensorimotor basis of word meanings and concepts have been …
[HTML][HTML] The “Small World of Words” English word association norms for over 12,000 cue words
Word associations have been used widely in psychology, but the validity of their application
strongly depends on the number of cues included in the study and the extent to which they …
strongly depends on the number of cues included in the study and the extent to which they …
Revealing the multidimensional mental representations of natural objects underlying human similarity judgements
Abstract Objects can be characterized according to a vast number of possible criteria (such
as animacy, shape, colour and function), but some dimensions are more useful than others …
as animacy, shape, colour and function), but some dimensions are more useful than others …
Multi-agent cooperation and the emergence of (natural) language
The current mainstream approach to train natural language systems is to expose them to
large amounts of text. This passive learning is problematic if we are interested in developing …
large amounts of text. This passive learning is problematic if we are interested in developing …
Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics
Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …
including human cognition. Although cognitive theories in different domains are strongly …
The why, how, and when of representations for complex systems
Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …
phenomena in a wide variety of domains, from neuroscience to computer science and …
Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation
Recent developments in distributional semantics (Mikolov, Chen, Corrado, & Dean, 2013;
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …