Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications

Word embedding models have recently shown some capability to encode hierarchical information that exists in textual data. However, such models do not explicitly encode the hierarchical structure that exists among words. In this work, we propose a method to learn hierarchical word embeddings (HWEs) i...

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Auteurs principaux: Mohammed Alsuhaibani, Danushka Bollegala
Format: article
Langue:EN
Publié: Hindawi Limited 2021
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Accès en ligne:https://doaj.org/article/b586f8dd6686407b98ccb44fe586a29b
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