Evolution of semantic similarity—a survey
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 …
research problems in the field of Natural Language Processing (NLP). The versatility of …
[HTML][HTML] A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
Partial multi-dividing ontology learning algorithm
As an effective data representation, storage, management, calculation and model for
analysis, ontology has attracted more and more attention by researchers and it has been …
analysis, ontology has attracted more and more attention by researchers and it has been …
[HTML][HTML] A comprehensive review of stacking methods for semantic similarity measurement
J Martinez-Gil - Machine Learning with Applications, 2022 - Elsevier
This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …
address the challenge of automatic semantic similarity measurement in the literature. Since …
[PDF][PDF] The performance of text similarity algorithms
The recent information problematic issue is the rapid data growth [1]. Text similarity
measurement is a text mining approach that could be overcome this overwhelming problem …
measurement is a text mining approach that could be overcome this overwhelming problem …
A survey of semantic relatedness evaluation datasets and procedures
Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …
While countless approaches have been proposed, measuring which one works best is still a …
Semantic similarity controllers: On the trade-off between accuracy and interpretability
In recent times, we have seen an explosion in the number of new solutions to address the
problem of semantic similarity. In this context, solutions of a neuronal nature seem to obtain …
problem of semantic similarity. In this context, solutions of a neuronal nature seem to obtain …
A novel method based on symbolic regression for interpretable semantic similarity measurement
The problem of automatically measuring the degree of semantic similarity between textual
expressions is a challenge that consists of calculating the degree of likeness between two …
expressions is a challenge that consists of calculating the degree of likeness between two …