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Constructing a Korean Named Entity Recognition Dataset for the Financial Domain using Active Learning
Data of 8, 043 sentences were constructed using the proposed method, and the performance of the named entity recognizer reached 80. 84%.
Correspondence between neuroevolution and gradient descent
We show analytically that training a neural network by conditioned stochastic mutation or neuroevolution of its weights is equivalent, in the limit of small mutations, to gradient descent on the loss function in the presence of Gaussian white noise.
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