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Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases
BACKGROUND: In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, thereby limiting their interpretability. Even though word embeddings are able to cap...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069806/ https://www.ncbi.nlm.nih.gov/pubmed/30066651 http://dx.doi.org/10.1186/s12911-018-0630-x |