Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases
Abstract 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 abl...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2018-07-01
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| coleção: | BMC Medical Informatics and Decision Making |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12911-018-0630-x |
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