most citedLearning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts

32 citations · 32 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2017★ 32 cited

Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts

Arpita Roy, Youngja Park, SHimei Pan

Word embedding is a Natural Language Processing (NLP) technique that automatically maps words from a vocabulary to vectors of real numbers in an embedding space. It has been widely…