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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Detalles Bibliográficos
Autores principales: Alsuhaibani, Mohammed, Bollegala, Danushka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610673/
https://www.ncbi.nlm.nih.gov/pubmed/34824601
http://dx.doi.org/10.1155/2021/9761163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610673/
https://www.ncbi.nlm.nih.gov/pubmed/34824601
http://dx.doi.org/10.1155/2021/9761163

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