Socio-semantic networks as mutualistic networks [PDF]
Scientific Reports, 2022 Several studies have shown that discourse and social relationships are intertwined and co-evolve. However, we lack theoretical models to explain the phenomenon.
Jonathan St-Onge +3 more
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Topological properties and organizing principles of semantic networks [PDF]
Scientific Reports, 2023 Interpreting natural language is an increasingly important task in computer algorithms due to the growing availability of unstructured textual data.
Gabriel Budel +3 more
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Structural differences in the semantic networks of younger and older adults [PDF]
Scientific Reports, 2022 Cognitive science invokes semantic networks to explain diverse phenomena, from memory retrieval to creativity. Research in these areas often assumes a single underlying semantic network that is shared across individuals.
Dirk U. Wulff, Thomas T. Hills, Rui Mata
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Measuring individual semantic networks: A simulation study. [PDF]
PLoS ONEAccurately capturing individual differences in semantic networks is fundamental to advancing our mechanistic understanding of semantic memory. Past empirical attempts to construct individual-level semantic networks from behavioral paradigms may be ...
Samuel Aeschbach, Rui Mata, Dirk U Wulff
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Semantic networks in relapsing-remitting multiple sclerosis exhibit reduced efficiency, interconnectivity, and flexibility [PDF]
Multiple Sclerosis Journal - Experimental, Translational and ClinicalBackground Word-finding deficits are common in persons with relapsing-remitting multiple sclerosis (pwRRMS); this may be related to the inefficient organization of semantic information.
Sophia Lall +2 more
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Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan. [PDF]
Cognition, 2021 Cosgrove AL +3 more
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Semantic Network Interpretation [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022 Network interpretation as an effort to reveal the features learned by a network remains largely visualization-based. In this paper, our goal is to tackle semantic network interpretation at both filter and decision level. For filter-level interpretation, we represent the concepts a filter encodes with a probability distribution of visual attributes. The
Pei Guo, Ryan Farrell
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INFORMATION REPRESENTATION METHODS IN SIMPLE SEMANTIC NETWORKS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. The paper presents a review of the currently existing basic types of simple semantic networks. We highlight and describe distinguishing features of relations that determine the type of semantic network and the methods of presenting ...
Larisa A. Artyushina
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Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis
Frontiers in Public Health, 2022 Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health ...
Mireya Martínez-García +4 more
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Semantic Diffusion Network for Semantic Segmentation
Advances in Neural Information Processing Systems 35, 2022 Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Haoru Tan, Sitong Wu, Jimin Pi
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