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Using Word Embeddings to Learn a Better Food Ontology
Food ontologies require significant effort to create and maintain as they involve manual and time-consuming tasks, often with limited alignment to the underlying food science knowledge. We propose a semi-supervised framework for the automated ontology population from an existing ontology scaffold by...
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| Publicado no: | Front Artif Intell |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7861243/ https://ncbi.nlm.nih.gov/pubmed/33733222 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2020.584784 |
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