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Results tagged with word-embeddings
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user 19255
Word embedding is the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to the vocabulary size.
4
votes
How word2vec can be used to identify unseen words and relate them to already trained data
word2vec treats words as atoms. To get meaningful vectors for unknown words, you either have to
change what these atoms are, e.g. switch to letter n-grams as in jamesmf's answer, or
use a different m …
- 231