GiRyong Choi

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Due to the growing number of unlabeled documents, it is becoming important to develop unsupervised methods capable of automatically extracting information. Topic models and neural networks represent two such methods, and parameter approximation algorithms are typically employed to estimate the parameters because it is not possible precisely to compute the(More)
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