A non-sequential refinement approach to improve word embeddings using GPU-based string matching algorithms

Unlike other word embedding models that learn word vectors for a collection of words sequentially, this paper proposes a non-sequential refinement approach to improve the vectors of particular words non-sequentially using a string matching algorithm to speed up the process. The key idea is to change...

Full description