Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning.
Objective: There have been various methods to deal with the erroneous training data in distantly supervised relation extraction (RE), however, their performance is still far from satisfaction. We aimed to deal with the insufficient modeling problem on instance-label correlations for predicting biome...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 28; no. 12; pp. 2571 - 2582 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |