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Dimensions of semantic similarity

2018
Semantic similarity is a broad term used to describe many tools, models and methods applied in knowledge bases, semantic graphs, text disambiguation, ontology matching and more. Because of such broad scope it is, in a “general” case, difficult to properly capture and formalize.
Paweł Szmeja   +3 more
  +4 more sources

Distributional Compositional Semantics and Text Similarity

2012 IEEE Sixth International Conference on Semantic Computing, 2012
In this paper, an approach for semantic compositionbased on space projection operations over basic geometriclexical representations is proposed. Syntactic bi-grams arehere projected in the so called Support Subspace, aimed atemphasizing the semantic features shared by the compoundword.
CROCE, DANILO   +3 more
openaire   +1 more source

Semantic Similarity Functions and Measures

2019
Similarity is the process through which two or more objects are compared in order to identify to what extent they are alike. This is useful, for instance, when there is the need to identify common elements among a set of objects or when a new object has to be classified w.r.t. the others.
openaire   +2 more sources

Evolution of Semantic Similarity—A Survey

ACM Computing Surveys, 2022
Dhivya Chandrasekaran, Vijay Mago
exaly  

Neurofuzzy semantic similarity measurement

Data & Knowledge Engineering, 2023
Jorge Martinez-Gil   +3 more
openaire   +1 more source

Deep Category-Level and Regularized Hashing With Global Semantic Similarity Learning

IEEE Transactions on Cybernetics, 2021
Yaxiong Chen, Xiaoqiang Lu
exaly  

Similarity, Semantic

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Deep Semantic Reconstruction Hashing for Similarity Retrieval

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Yunbo Wang, Xianfeng Ou, Jian Liang
exaly  

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

IEEE Transactions on Cybernetics, 2020
Yunchao Wei, Yi Yang, Thomas S Huang
exaly  

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