WordGCN
Word embedder
A deep learning model that generates word embeddings by predicting words based on their dependency context
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
290 stars
14 watching
64 forks
Language: Python
last commit: over 1 year ago acl2019deep-learning-tutorialgcngraph-convolutional-networksnatural-language-processingtensorflowword-embeddings
Related projects:
Repository | Description | Stars |
---|---|---|
atgreen/cl-embeddings | A Common Lisp library for generating word embeddings using neural network models. | 8 |
cod3licious/conec | A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
commonsense/conceptnet-numberbatch | A pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings. | 1,295 |
zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
xiaoqijiao/coling2018 | Provides training and testing code for a CNN-based sentence embedding model | 2 |
hslcy/vcwe | This project provides code and corpora for creating word embeddings by considering the visual characteristics of words. | 15 |
vzhong/embeddings | Provides fast and efficient word embeddings for natural language processing. | 223 |
tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
dccuchile/spanish-word-embeddings | A collection of precomputed word embeddings for the Spanish language, derived from different corpora and computational methods. | 356 |
benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
jwieting/acl2017 | A codebase for training and using models of sentence embeddings. | 33 |
jwieting/charagram | A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
materialsintelligence/mat2vec | Unsupervised word embeddings capture latent knowledge from materials science literature | 619 |
ynqa/wego | An open-source Go library for learning and manipulating vector representations of words | 474 |
hassygo/charngram2vec | A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks | 23 |