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A distributed framework for large-scale semantic trajectory similarity join
The similarity join is a common yet expensive operator for large-scale semantic trajectories analytics. In this paper, we propose
DFST , an efficient...
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A Language Framework for Measuring Semantic and Syntactic Similarity for Arabic Texts
A language framework for determining the similarity of two snipped texts is proposed. The edit distance concept is employed as a frame algorithm to...
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Siamese BERT Architecture Model with attention mechanism for Textual Semantic Similarity
Textual Semantic Similarity is a crucial part of text matching tasks, and it has a very wide range of applications in natural language processing...
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Fine-grained semantic textual similarity measurement via a feature separation network
Semantic text similarity (STS), which measures the semantic similarity of sentences, is an important task in the field of NLP. It has a wide range of...
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Query based biomedical document retrieval for clinical information access with the semantic similarity
The amount of exploration done for the available medical literature is quite less and at the same time, there is less awareness of information mining...
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Multi-knowledge resources-based semantic similarity models with application for movie recommender system
In recent years, researchers have proposed several feature-based methods to measure semantic similarity using knowledge resources like Wikipedia and...
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Semantic Similarity Functions and Their Applications
Similarity is a rich concept deeply rooted in human knowledge and perception. Interest in similarity and categorization of objects can be traced back...
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SSC-CF: Semantic similarity and clustering-based collaborative filtering for expert recommendation in community question answering websites
Community question answering forums allow users to find knowledge on a topic of interest by asking questions and getting answers from experts....
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SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data....
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Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information
The high dimensionality of text data is a challenging issue that requires efficient methods to reduce vector space and improve classification...
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HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity
Heterogeneous graph neural networks (HGNNs) can effectively model multiple node types and complex interactions in real networks and solve problems in...
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Semantic similarity-based program retrieval: a multi-relational graph perspective
In this paper, we formulate the program retrieval problem as a graph similarity problem. This is achieved by first explicitly representing queries...
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Text summary evaluation based on interpretable semantic textual similarity
Text summarization methods are much needed to tackle the ever-increasing volume of text data, accessible online to help us find the relevant...
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Revolutionizing ransomware detection and criticality assessment: Multiclass hybrid machine learning and semantic similarity-based end2end solution
In the digital environment, a ransomware detection and protection solution is crucial. Because it makes it possible for companies to combat the...
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Computing semantic similarity of texts by utilizing dependency graph
The problem of Semantic Textual Similarity (STS) is a significant issue in Natural Language Processing (NLP). STS recognizes and measures semantic...
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Multimedia Information Retrieval Method Based on Semantic Similarity
The conventional method of multimedia information retrieval has problems such as complex operation, error in information query, and low accuracy. A...
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Explaining Semantic Text Similarity in Knowledge Graphs
In this paper we explore the application of text similarity for building text-rich knowledge graphs, where nodes describe concepts that relate...
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Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering
With accelerated advancement of web 2.0, developers generally describe the functionality of services in short natural text. Keyword-based searching...
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Leveraging semantic similarity to mitigate the severity of misclassification for safety critical applications
Image classification finds wide applications in face recognition, cancer detection, and many more. However, the classifier models such as...
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Kernel-based similarity sorting and allocation for few-shot semantic segmentation
Few-shot semantic segmentation tackles the problem of recognizing novel class objects from images with only a few annotated exemplars. The key...
