Results 41 to 50 of about 72,487 (305)
Computing semantic similarity measure between words using web search engine [PDF]
, 2013 Semantic Similarity measures between words plays an important role in information retrieval, natural language processing and in various tasks on the web.
Pushpa, C.N. +5 more
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Defining degree of semantic similarity using description logic tools
, 2021 Establishing the semantic similarity of information is an integral part of the process of solving any information retrieval tasks, including tasks related to big data processing, discovery of semantic web services, categorization and classification of ...
Zakharova, O.V.
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Semantic similarity dissociates shortfrom long-term recency effects: testing a neurocomputational model of list memory [PDF]
, 2006 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 ...
Marius Usher +7 more
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Frontiers in Human Neuroscience, 2017 According to a recent study, semantic similarity between concrete entities correlates with the similarity of activity patterns in left middle IPS during category naming.
Veerle Neyens +14 more
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A Reputation Model of OSM Contributor Based on Semantic Similarity of Ontology Concepts
Applied Sciences, 2022 Due to their status as non-professionals, the reputations of Volunteered Geographic Information (VGI) contributors have a very important impact on data quality.
Yijiang Zhao +3 more
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A relation based measure of semantic similarity for Gene Ontology annotations
, 2008 This work has been supported by Microsoft Research Cambridge and the Irish Research Council for Science, Engineering and Technology.Background: Various measures of semantic similarity of terms in bio-ontologies such as the Gene Ontology (GO) have been ...
Gaudin, Benoit +15 more
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Not just a matter of semantics: the relationship between visual similarity and semantic similarity
CoRR, 2018 Knowledge transfer, zero-shot learning and semantic image retrieval are methods that aim at improving accuracy by utilizing semantic information, e.g. from WordNet. It is assumed that this information can augment or replace missing visual data in the form of labeled training images because semantic similarity correlates with visual similarity.
Clemens-Alexander Brust, Joachim Denzler
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Semantic similarity in the biomedical domain: an evaluation across knowledge sources
BMC Bioinformatics, 2012 Background Semantic similarity measures estimate the similarity between concepts, and play an important role in many text processing tasks. Approaches to semantic similarity in the biomedical domain can be roughly divided into knowledge based and ...
Garla Vijay N, Brandt Cynthia
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Land, 2021 To accurately and formally represent the historical trajectory and present the current situation of land use/land cover (LULC), numerous types of classification standards for LULC have been developed by different nations, institutes, organizations, etc.;
Xiran Zhou, Xiao Xie, Yong Xue, Bing Xue
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Rhetoric-based Semantic Similarity Experiments
, 2019 Study of Semantic Similarity from Rhetoric-based Scientific Article ...
Carlos Badenes-Olmedo
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