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...
| Published in: | Journal of the American Medical Informatics Association Vol. 28; no. 12; pp. 2571 - 2582 |
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| Main Authors: | , , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Dec2021
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| Online Access: | View this record in EBSCOhost |