Results 11 to 20 of about 1,129,461 (196)
Integrated Subject–Action–Object and Bayesian Models of Intelligent Word Semantic Similarity Measures [PDF]
Synonym similarity judgments based on semantic distance calculation play a vital role in supporting applications in the field of Natural Language Processing (NLP).
Siping Zeng +4 more
doaj +2 more sources
Connectionism and psychological notions of similarity [PDF]
Kitcher (1996) offers a critique of connectionism based on the belief that connectionist information processing relies inherently on metric similarity relations. Metric similarity measures are independent of the order of comparison (they are symmetrical)
Thomas, Michael S.C., Mareschal, Denis
core +7 more sources
Supervised Biomedical Semantic Similarity
Semantic similarity between concepts in knowledge graphs is essential for several bioinformatics applications, including the prediction of protein-protein interactions and the discovery of associations between diseases and genes.
Rita T. Sousa +2 more
doaj +1 more source
Semantic similarity dissociates shortfrom long-term recency effects: testing a neurocomputational model of list memory [PDF]
The finding that recency effects can occur not only in immediate free recall (i.e., short-term recency) but also in the continuous-distractor task (i.e., long-term recency) has led many theorists to reject the distinction between short- and long-term ...
Usher, Marius +3 more
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Semantic Similarity Based on Taxonomies
The evaluation of the semantic similarity of concepts organized according to taxonomies is a long-standing problem in computer science and has attracted great attention from researchers over the decades.
Antonio De Nicola +3 more
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Semantic similarity in biomedical ontologies. [PDF]
In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations.
Catia Pesquita +4 more
doaj +1 more source
Multi-aspect Semantic Trajectory Similarity Computation Model
The development of mobile devices enables trajectory data to record more useful information, such as check in information and activity information, constituting semantic trajectory data.
CAI Mingxin, SUN Jing, WANG Bin
doaj +1 more source
Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Yu, Wei +3 more
core +2 more sources
Semantic information interaction plays an important role in transportation infrastructure modeling and management. To ensure semantic consistency during information exchange and data integration, ontology technology is commonly employed to measure the ...
Tuyu Bao +5 more
doaj +1 more source
Detecting semantic similarity between documents is vital in natural language processing applications. One widely used method for measuring the semantic similarity of text documents is embedding, which involves converting texts into numerical vectors ...
Ramadan T. Hassan , Nawzat S. Ahmed
doaj +3 more sources

