Four word embedding models implemented in Python. Supporting arbitrary context features

Embeddings for n-grams

Extension of DeepWalk by Ngram2Vec

No description available

Extension of word2vec, pretrain ngram embeddings

embeddings4ngrams

基于nGram2vec与词义演化的词相似度

如何更好的在中文文本分类中使用词向量

This survey paper explores the challenges in evaluating word embeddings, and reviews extensive experiments comparing various embedding models (such as SGNS, CBOW, GloVe, FastText, ngram2vec, and Dic2vec) across different tasks.