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A large-scale database of Mandarin Chinese word associations from the small world of words project
Word associations are among the most direct ways to measure word meaning in human
minds, capturing various relationships, even those formed by non-linguistic experiences …
minds, capturing various relationships, even those formed by non-linguistic experiences …
A large-scale fMRI dataset for human action recognition
Human action recognition is a critical capability for our survival, allowing us to interact easily
with the environment and others in everyday life. Although the neural basis of action …
with the environment and others in everyday life. Although the neural basis of action …
TACO: A Turkish database for abstract concepts
F Conca, DM Gibbons, B Bayram, EI Incesoy… - Behavior Research …, 2024 - Springer
The organization of abstract concepts reflects different dimensions, grounded in the brain
regions coding for the corresponding experience. Normative measures of linguistic stimuli …
regions coding for the corresponding experience. Normative measures of linguistic stimuli …
The organization of the semantic network as reflected by the neural correlates of six semantic dimensions
Multiple sensory-motor and non-sensory-motor dimensions have been proposed for
semantic representation, but it remains unclear how the semantic system is organized along …
semantic representation, but it remains unclear how the semantic system is organized along …
Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models
Neural language models, particularly large-scale ones, have been consistently proven to be
most effective in predicting brain neural activity across a range of studies. However, previous …
most effective in predicting brain neural activity across a range of studies. However, previous …
Plant disease prescription recommendation based on electronic medical records and sentence embedding retrieval
J Ding, Y Qiao, L Zhang - Plant Methods, 2023 - Springer
Background In the era of Agri 4.0 and the popularity of Plantwise systems, the availability of
Plant Electronic Medical Records has provided opportunities to extract valuable disease …
Plant Electronic Medical Records has provided opportunities to extract valuable disease …
[HTML][HTML] Quantifying the Multidimensionality of Abstract Concepts: An Italian Database
Background: The embodied cognition approach, as applied to concrete knowledge, is
centred on the role of the perceptual and motor aspects of experience. To extend the …
centred on the role of the perceptual and motor aspects of experience. To extend the …
[HTML][HTML] WERECE: An Unsupervised Method for Educational Concept Extraction Based on Word Embedding Refinement
J Huang, R Ding, X Wu, S Chen, J Zhang, L Liu… - Applied Sciences, 2023 - mdpi.com
The era of educational big data has sparked growing interest in extracting and organizing
educational concepts from massive amounts of information. Outcomes are of the utmost …
educational concepts from massive amounts of information. Outcomes are of the utmost …
Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models
Polysemes are words that can have different senses depending on the context of utterance:
for instance,'newspaper'can refer to an organization (as in 'manage the newspaper') or to an …
for instance,'newspaper'can refer to an organization (as in 'manage the newspaper') or to an …
Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity
Aspect, a linguistic category describing how actions and events unfold over time, is
traditionally characterized by three semantic properties: stativity, durativity and telicity. In this …
traditionally characterized by three semantic properties: stativity, durativity and telicity. In this …