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beginner_source/nlp/word_embeddings_tutorial.py

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@@ -277,7 +277,7 @@ def forward(self, inputs):
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# learning. It is a model that tries to predict words given the context of
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# a few words before and a few words after the target word. This is
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# distinct from language modeling, since CBOW is not sequential and does
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# not have to be probabilistic. Typcially, CBOW is used to quickly train
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# not have to be probabilistic. Typically, CBOW is used to quickly train
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# word embeddings, and these embeddings are used to initialize the
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# embeddings of some more complicated model. Usually, this is referred to
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# as *pretraining embeddings*. It almost always helps performance a couple

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