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Category: Word Embedding

Deep Learning / Machine Learning / Word Embedding / 未分類

Why is Word Embeddings Important for NLP?

You may be familiar with Word2vec (Mikolov et al., 2013). Word2vec allows you to add and subtract words as though they are capturing the meaning of a word. For example, …

Deep Learning / Machine Learning / Python / Word Embedding

The List of Pretrained Word Embeddings

The information of word embedding is on the GitHub. Introduction word embeddings is a technique that expresses a word as a real number vector of low dimension (about 200 dimensions …

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