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Word Embedding

Thoughts about character-based word embedding and vocabularies in NLP :character:word:embedding:vocabulary: Goal In this summary we compare the two standard methods of single character embedding and full word embedding. Motivation In order to teach a computer to understand words in order to perform natural language tasks, we have to map characters or words to a vector space the computer naturally acts on. Ingredients vocabulary, convolutional layers, highway layers, vector space, out of vocabulary words, semantics, syntax Steps The mapping of character, words or even complete sentences into a vector space is usually called embedding. Given some text, there are two distinct methods to compute word embeddings manageable by a computer. Children learning to read to start by recognizing individual characters before […]