Results 21 to 30 of about 341,298 (275)
Advances in Multimedia, 2022 TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
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Semantic relatedness based re-ranker for text spotting [PDF]
, 2019 Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based neural approaches.
Moreno-Noguer, Francesc +2 more
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Semantic similarity metrics for image registration [PDF]
Medical Image Analysis, 2023 Image registration aims to find geometric transformations that align images. Most algorithmic and deep learning-based methods solve the registration problem by minimizing a loss function, consisting of a similarity metric comparing the aligned images, and a regularization term ensuring smoothness of the transformation.
Steffen Czolbe +3 more
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Short Text Semantic Similarity Measurement Approach Based on Semantic Network
مجلة بغداد للعلوم, 2022 Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is ...
Naamah Hussien Hameed +2 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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Roget’s thesaurus and semantic similarity [PDF]
, 2004 8 ...
Jarmasz, Mario, Szpakowicz, Stan
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Evolution of Semantic Similarity—A Survey [PDF]
ACM Computing Surveys, 2021 Estimating the semantic similarity between text data is one of the challenging and open research problems in the field of Natural Language Processing (NLP). The versatility of natural language makes it difficult to define rule-based methods for determining semantic similarity measures.
Chandrasekaran, Dhivya, Mago, Vijay
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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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TELKOMNIKA Indonesian Journal of Electrical Engineering, 2014 Similarity is a tool widely used in various domains such as DNA sequence analysis, knowledge representation, natural language processing, data mining, information retrieval, and information flow. Computing semantic similarity between two entities is a non-trivial task. There are many ways to define semantic similarity.
Abdoulahi Boubacar, Zhendong Niu
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Using distributional similarity to organise biomedical terminology [PDF]
, 2005 We investigate an application of distributional similarity techniques to the problem of structural organisation of biomedical terminology. Our application domain is the relatively small GENIA corpus.
Dowdall, James +4 more
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