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 …
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 …
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 …
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 …
社会概念表征和整合的神经基础
施伟廷, 张亚宁, 李兴珊, 林楠 - 心理科学进展, 2024 - journal.psych.ac.cn
社会概念的表征和整合是人们理解和思考社会信息的重要基础, 其神经基础问题正逐渐成为新兴
的研究热点. 现有的脑影像和损伤研究证据较为一致地提示, 社会概念表征主要依赖由双侧颞叶 …
的研究热点. 现有的脑影像和损伤研究证据较为一致地提示, 社会概念表征主要依赖由双侧颞叶 …
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 …
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 …
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 …
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 …
[PDF][PDF] A comprehensive neural and behavioral task taxonomy method for transfer learning in nlp
Transfer learning is frequently utilized in scenarios with limited labeled examples, where a
crucial step is to identify a related task to the target task. CogTaskonomy (Luo et al., 2022) …
crucial step is to identify a related task to the target task. CogTaskonomy (Luo et al., 2022) …