Sentence examples for Semantic assessments from inspiring English sources
Across 6 patients, and utilizing a variety of semantic assessments, we evaluated and confirmed that the anterior fusiform/inferior temporal gyrus is crucial in multimodal, receptive, and expressive, semantic processing.
Thus, making sense of semantic assessment sensitivity requires making sense of (a certain kind of) "relative truth" – a notion often held to be incoherent.
To address this problem we introduce a semi-structured formalism for argumentation, called LAF-ensembles, capturing a set of essential features of structured arguments and define a class of set based argumentation frameworks appropriate to support a semantic assessment of arguments for LAF-ensembles.
Semantic assessment using Pyramids and Palm Trees three-picture version ranged from 42% to 100%.
Considering its limitations and prospects, it can be advanced to useful tool sets for semantic sustainability assessments.
Standardized semantic sustainability assessments of large amounts of different kinds of text data may be achieved by using additional text mining or natural language processing methods, e.g., for syntax parsing or automated generation of categorization schemes.
Semantic relatedness assessment between concepts is a critical issue in many domains such as artificial intelligence, information retrieval, psychology, biology, linguistics and cognitive science.
In order to bring some light to these questions, we perform an in-depth analysis of existing ontology-based measures to identify the core elements of semantic similarity assessment.
Apart from thematic issues, the second part of the discussion addresses methodological limitations and prospects for semantic sustainability assessment.
Mapping methodological options and conducting structured sensitivity analyses would be a useful next step to advance semantic sustainability assessment.
Despite the need for further research in this direction, semantic sustainability assessment is a reasonable option to complement existing monitoring systems based on physical indicators.
