Sentence examples for semantic recognition from inspiring English sources
The term "semantic recognition" is correct and usable in written English
You can use it to refer to the ability to understand the meaning of words or sentences. For example: Our natural language processing system can perform advanced semantic recognition, allowing it to accurately interpret user input.
Procedurally encoded knowledge can be used to solve inverse problems such as model segmentation, semantic recognition and model completion.
Meanwhile, Twitter seems to be making big advances in semantic recognition of what people are talking about and how that can target ads.
This provides third-party developers with a way to connect to and tap into the databases and semantic recognition engine the company has been building over the past few months.
In this paper, the QR code based artificial labels are used to provide semantic concepts and relations of objects and rooms in indoor environments, which can solve the complexity and limitations of semantic recognition and scene understanding only with robot's vision.
Semantic errors were most strongly associated with left ATL damage whereas deficits on tests of verbal and non-verbal semantic recognition were most strongly associated with damage to deep white matter underlying the frontal lobe at the confluence of multiple tracts, including the inferior fronto-occipital fasciculus, the uncinate fasciculus, and the anterior thalamic radiations.
The motor simulation thus provides the pragmatic knowledge congruent with the underlying action and complements the semantic recognition of the verb.
This may guide and facilitate automatic lexico-semantic recognition processing.
Cloud technologies provide ways to achieve this through new architectures, methodologies, and workflows that facilitate semantic tagging, recognition, and acknowledgment of informal learning activities.
Healthy aging is characterized by declines in working memory and new episodic memory performance with relative sparing of semantic memory, recognition memory, and priming.
Keibi's holistic approach uses web semantic and recognition engines to provide robust user generated content categorization that can be leveraged for content discovery, community moderation, and brand protection.
Sibanda et al. [ 19] developed a semantic category recognition approach for document understanding that analyzes the syntax of documents.
