Results 301 to 310 of about 1,001,459 (337)

Semantic Cognition: Semantic Memory and Semantic Control

2021
Semantic processing is a defining feature of human cognition, central not only to language, but also to object recognition, the generation of appropriate actions, and the capacity to use knowledge in reasoning, planning, and problem-solving. Semantic memory refers to our repository of conceptual or factual knowledge about the world.
Elizabeth Jefferies, Xiuyi Wang
openaire   +1 more source

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

European Conference on Computer Vision, 2018
Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling
Liang-Chieh Chen   +4 more
semanticscholar   +1 more source

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Conference on Empirical Methods in Natural Language Processing, 2013
Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. Further progress towards understanding compositionality in tasks such as sentiment detection requires richer supervised training and ...
R. Socher   +6 more
semanticscholar   +1 more source

Semantic Dualism

The Southern Journal of Philosophy, 2020
AbstractPhilosophers have paid more attention to proper names (hereafter “names”) than to any other semantic kind. They have also more often focused on names in works of fact than in fiction, and almost always considered individual works, fact or fiction, in isolation from one another.
Nathaniel Goldberg, Chris Gavaler
openaire   +1 more source

Semantics for Semantics

2017
This chapter argues that certain important lessons about truth can only be appreciated by approaching semantic circularity from the perspective of a compositional semanticist. It explains our need for a compositional semantics for semantic vocabulary like ‘true’.
James R. Shaw   +2 more
openaire   +1 more source

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

International Journal of Computer Vision, 2020
Low-level details and high-level semantics are both essential to the semantic segmentation task. However, to speed up the model inference, current approaches almost always sacrifice the low-level details, leading to a considerable decrease in accuracy ...
Changqian Yu   +5 more
semanticscholar   +1 more source

Semantic paraphasia

Journal of Communication Disorders, 1979
In the present paper a large corpus of semantic word selection errors from a severe Wernicke's aphasic is analyzed in accordance with a taxonomy recently proposed in the literature. In an attempt to demonstrate the systematicity of the aphasic substitutions, the errors are classified along a wide range of conceptual spheres.
H W, Buckingham, D M, Rekart
openaire   +2 more sources

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