example configuration for word embedding.
Created by: lcy-seso
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In this example, we would like to show how to use hsigmoid to training word embedding for large vocabulary.
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Please refer to this example provided by @reyoung. Note that this example is not for word embedding training exactly. You‘d better learn and then modify it.
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The example must include the training and the predicting process.
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Please pull your codes and docs into the word_embedding directory.
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In future, we may add more configuration for models with a large vocabulary.