dict2vec
Word embedding model
A framework to learn word embeddings using lexical dictionaries
Dict2vec is a framework to learn word embeddings using lexical dictionaries.
115 stars
5 watching
30 forks
Language: Python
last commit: almost 4 years ago cembeddingssemantic-similarityspearmanword-embeddingsword2vecwordembeddingwordembeddings
Related projects:
| Repository | Description | Stars |
|---|---|---|
 vefstathiou/so_word2vec | This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
 cod3licious/conec | A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
 wikipedia2vec/wikipedia2vec | A tool for learning vector representations of words and entities from Wikipedia text data. | 940 |
 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 |
 danieldk/go2vec | A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
 dalinvip/cw2vec | A software framework for learning Chinese word embeddings with stroke n-gram information | 274 |
 satwikkottur/visualword2vec | Learning word embeddings from abstract images to improve language understanding | 19 |
 auspicious3000/contentvec | An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings | 470 |
 juliatext/word2vec.jl | A Julia interface to the Word2Vec word embedding algorithm | 61 |
 zhezhaoa/ngram2vec | A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 846 |
 materialsintelligence/mat2vec | Unsupervised word embeddings capture latent knowledge from materials science literature | 619 |
 eyaler/word2vec-slim | Slims down a large pre-trained word2vec model to reduce size and improve loading time | 213 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 kostyaev/sentence2vec | This is a tool for creating deep sentence embeddings using Sequence-to-Sequence learning. | 22 |
 hslcy/vcwe | This project provides code and corpora for creating word embeddings by considering the visual characteristics of words. | 15 |