Research for Practice: Knowledge Base Construction in the Machine-Learning Era.
The article reports on the construction of knowledge bases through the use of deep learning. It presents summaries of three papers on several facets of knowledge base construction: the need for joint learning to prevent error cascades, the weak supervision of training data, and the representation of...
| Publicado en: | Communications of the ACM Vol. 61; no. 11; pp. 95 - 98 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Nov2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article reports on the construction of knowledge bases through the use of deep learning. It presents summaries of three papers on several facets of knowledge base construction: the need for joint learning to prevent error cascades, the weak supervision of training data, and the representation of the data both as it is input and output. |
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