Results 261 to 270 of about 933,026 (316)

Mapping semantic space: property norms and semantic richness

Cognitive Processing, 2019
In semantic property listing tasks, participants list many features for some concepts and fewer for others. This variability in number of features (NoF) has been used in previous research as a measure of a concept's semantic richness, and such studies have shown that in lexical-semantic tasks responses tend to be facilitated for words with high NoF ...
Emiko J. Muraki, D. Sidhu, P. Pexman
semanticscholar   +3 more sources

The Neural Consequences of Semantic Richness

Psychological Science, 2007
Some concepts have richer semantic representations than others. That is, when considering the meaning of concepts, subjects generate more information (more features, more associates) for some concepts than for others. This variability in semantic richness influences responses in speeded tasks that involve semantic processing, such as lexical decision ...
P. Pexman, Ian S. Hargreaves, Jodi D. Edwards, Luke C. Henry, B. Goodyear   +4 more
semanticscholar   +2 more sources

Semantic richness: The role of semantic features in processing spoken words

Journal of Memory and Language, 2014
A lexical decision and two visual world paradigm experiments are reported that investigated the role of semantic representations in recognizing spoken words. Semantic richness (NOF: number of features) influenced lexical decision reaction times in that semantically rich words (high NOF) were processed faster than semantically impoverished words (low ...
S. Sajin, C. Connine
semanticscholar   +2 more sources

Building semantic richness among natural language content

Second International Conference on the Innovative Computing Technology (INTECH 2012), 2012
In this work we propose Inclusive vector to keep the key words available in natural language database. The inclusive vectors are generated by the process of extraction of words given in the source and the cited items of records published in the ISI Thompson Citation Indexes.
S. Al-reyaee, P. Vijayakumar
semanticscholar   +2 more sources

Semantic richness effects in isolated spoken word recognition: Evidence from massive auditory lexical decision.

Journal of Experimental Psychology. Learning, Memory and Cognition, 2022
While known to influence visual lexical processing, the semantic information we associate with words has recently been found to influence auditory lexical processing as well.
Filip Nenadić, Ryan Podlubny, Daniel Schmidtke, Matthew C. Kelley, Benjamin V. Tucker   +4 more
semanticscholar   +1 more source

Geometric accuracy and semantic richness in heritage BIM: A review

Digital Applications in Archaeology and Cultural Heritage, 2020
This paper reviews the existing heritage building modelling approaches, both parametric and reality-based, with the focus being upon geometric accuracy and semantic richness of the generated models.
M. Radanović, K. Khoshelham, C. Fraser
semanticscholar   +1 more source

Semantic richness and density effects on language production: Electrophysiological and behavioral evidence.

Journal of Experimental Psychology. Learning, Memory and Cognition, 2020
Language production ultimately aims to convey meaning. Yet words differ widely in the richness and density of their semantic representations, and these differences impact conceptual and lexical processes during speech planning.
Milena Rabovsky, D. Schad, Rasha Abdel Rahman   +2 more
semanticscholar   +1 more source

Retargeting Semantically-Rich Photos

IEEE Transactions on Multimedia, 2015
Semantically-rich photos contain a rich variety of semantic objects (e.g., pedestrians and bicycles). Retargeting these photos is a challenging task since each semantic object has fixed geometric characteristics. Shrinking these objects simultaneously during retargeting is prone to distortion.
Luming Zhang, Meng Wang, Liqiang Nie, Liang Hong, Yong Rui, Qi Tian   +5 more
openaire   +1 more source

Rich Embedding Features for One-Shot Semantic Segmentation

IEEE Transactions on Neural Networks and Learning Systems, 2022
One-shot semantic segmentation poses the challenging task of segmenting object regions from unseen categories with only one annotated example as guidance. Thus, how to effectively construct robust feature representations from the guidance image is crucial to the success of one-shot semantic segmentation. To this end, we propose in this article a simple,
Xiaolin Zhang, Yunchao Wei, Zhao Li, Chenggang Yan, Yi Yang   +4 more
openaire   +2 more sources

The neural correlates of semantic richness: evidence from an fMRI study of word learning.

Brain and Language, 2015
We investigated the neural correlates of concrete nouns with either many or few semantic features. A group of 21 participants underwent two days of training and were then asked to categorize 40 newly learned words and a set of matched familiar words as ...
Roberto A. Ferreira, S. Göbel, M. Hymers, A. Ellis   +3 more
semanticscholar   +1 more source