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Semantic Similarity: Foundations [PDF]
, 2014 This paper investigates measures of semantic similarity between conversations from an axiomatic perspective. We abstract away from real conversations, representing them as sequences of formulas, equipped with a notion of semantic interpretation that maps them into a different space.
Dégremont, Cédric +2 more
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The K-Means Clustering Algorithm With Semantic Similarity To Estimate The Cost of Hospitalization
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 The cost of hospitalization from a patient can be estimated by performing a cluster of patient. One of the algorithms that is widely used for clustering is K-means.
Ida Bagus Gede Sarasvananda +2 more
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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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A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts.
Q. X. Xu, W. Z. Shi
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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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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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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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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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