A large-scale database of Mandarin Chinese word associations from the small world of words project

B Li, Z Ding, S De Deyne, Q Cai - Behavior Research Methods, 2024 - Springer
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 …

A large-scale fMRI dataset for human action recognition

M Zhou, Z Gong, Y Dai, Y Wen, Y Liu, Z Zhen - Scientific Data, 2023 - nature.com
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 …

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 …

The organization of the semantic network as reflected by the neural correlates of six semantic dimensions

N Lin, X Zhang, X Wang, S Wang - Brain and Language, 2024 - Elsevier
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 …

Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models

Y Zhang, S Wang, X Dong, J Yu, C Zong - arxiv preprint arxiv:2404.19364, 2024 - arxiv.org
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 …

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 …

[HTML][HTML] Quantifying the Multidimensionality of Abstract Concepts: An Italian Database

VM Borsa, M Arioli, R Verni, N Canessa, SF Cappa… - Brain Sciences, 2025 - mdpi.com
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 …

[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 …

Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models

A Bruera, F Zamani, M Poesio - … of the 13th Joint Conference on …, 2024 - aclanthology.org
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 …

Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity

Y Li, E Chersoni, YY Hsu - … of the 13th Joint Conference on Lexical …, 2024 - aclanthology.org
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 …