Abstract: In order to improve the text matching degree and calculation accuracy of the short text classification method, this paper studies the optimization of the short text classification method of ...
Abstract: In text, word2vec transforms each word into a fixed-size vector used as the basic component in applications of natural language processing. Given a large collection of unannotated audio, ...
This is presented as an (incomplete) starting point for those interested in getting into the weeds of DL architectures in NLP. Annotated models are presented along with some notes.
This project provides 100+ Chinese Word Vectors (embeddings) trained with different representations (dense and sparse), context features (word, ngram, character, and more), and corpora. One can easily ...
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