CWE

Character Embeddings Model

Improves word embeddings by considering internal character structures in Chinese words

GitHub

299 stars
20 watching
111 forks
Language: C
last commit: about 4 years ago

Related projects:

Repository Description Stars
ray1007/gwe A software implementation of a word embedding method using character glyphs, enhancing traditional Chinese language processing 30
malllabiisc/wordgcn A deep learning model that generates word embeddings by predicting words based on their dependency context 290
giuseppemarra/char-word-embeddings This repository provides an unsupervised approach to learning character-aware word and context embeddings. 0
hkust-knowcomp/jwe This is a software project that trains and evaluates word embeddings for Chinese words, characters, and fine-grained subcharacter components. 99
cod3licious/conec A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm 20
yuvalpinter/mimick A system for approximating word embeddings using character-level neural networks 153
dalinvip/cw2vec A software framework for learning Chinese word embeddings with stroke n-gram information 274
jwieting/charagram A tool for training and using character n-gram based word and sentence embeddings in natural language processing. 125
mnqu/pte An implementation of the Predictive Text Embedding model for learning word representations from large-scale heterogeneous text networks. 96
alexandres/lexvec An implementation of a word embedding model that uses character n-grams and achieves state-of-the-art results in multiple NLP tasks 803
codeplea/hexembed A utility to embed files in C programs by encoding their contents as bytes 47
nicolasgraph/oui_embed A plugin for Textpattern CMS to embed content from any web page using various protocols and APIs. 2
benedekrozemberczki/tene A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. 73
raduionescu/vlawe-boswe Software providing representations for text classification based on word embeddings and clustering 10
chengyuegongr/frequency-agnostic Improves word embeddings by using adversarial training to make them less dependent on word frequencies 118