Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

Jiangbin Zheng, Yile Wang, Ge Wang +5

Although contextualized embeddings generated from large-scale pre-trained models perform well in many tasks, traditional static embeddings (e.g., Skip-gram, Word2Vec) still play an…