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What is the embedding parameter vocab_size in Pytorch? That is, does this dictionary size include the training set and test set or is it only the dictionary size of the training set? Show all followers 5 To be clear, the decoder outputs each word serially during the test phase, and the entire sequence is output in parallel during the training phase. For example, suppose the target sequence is "Who are you?" The first step of input to the decoder in the test phase is a matrix table of (1, d). How does mainstream NLP research currently deal with out of vocabulary words? The vocab given by the word2vec negative 300 feature data set can only cover 70% of my training data. How should the remaining words be generally processed? Related.
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Original link: nlp basics (word segmentation): wordpiece algorithm Introduction: In the previous article, we introduced how the bpe (byte pair encoding) algorithm solves the unregistered word problem (nlp basics (.
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