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

GitHub

291 stars
14 watching
64 forks
Language: Python
last commit: over 3 years ago
acl2019deep-learning-tutorialgcngraph-convolutional-networksnatural-language-processingtensorflowword-embeddings

Related projects:

RepositoryDescriptionStars
atgreen/cl-embeddingsA Common Lisp library for generating word embeddings using neural network models.9
cod3licious/conecA library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm20
commonsense/conceptnet-numberbatchA pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings.1,296
zhangxiann/skip-gramA Python implementation of a neural network model for learning word embeddings from text data6
xiaoqijiao/coling2018Provides training and testing code for a CNN-based sentence embedding model2
hslcy/vcweThis project provides code and corpora for creating word embeddings by considering the visual characteristics of words.15
vzhong/embeddingsProvides fast and efficient word embeddings for natural language processing.223
tca19/dict2vecA framework to learn word embeddings using lexical dictionaries115
dccuchile/spanish-word-embeddingsA collection of precomputed word embeddings for the Spanish language, derived from different corpora and computational methods.354
benedekrozemberczki/teneA sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.74
jwieting/acl2017A codebase for training and using models of sentence embeddings.33
jwieting/charagramA tool for training and using character n-gram based word and sentence embeddings in natural language processing.125
materialsintelligence/mat2vecUnsupervised word embeddings capture latent knowledge from materials science literature624
ynqa/wegoAn open-source Go library for learning and manipulating vector representations of words476
hassygo/charngram2vecA repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks23