A comprehensive review of stacking methods for semantic similarity measurement

This article presents a comprehensive review of stacking methods commonly used to address the challenge of automatic semantic similarity measurement in the literature. Since more than two decades of research have left various semantic similarity measures, scientists and practitioners often find many...

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Bibliographic Details
Main Author: Jorge Martinez-Gil
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000986