What is it about?
This article propose a new word embedding algorithm named Wasf-Vec. The well known word2vev embedding is represent semantic and syntactic features, while Wasf-Vec embedding represents lexical and other semantic and syntactic features. Wasf-Vec highly captures the morphological relations between words.
Featured Image
Photo by CDC on Unsplash
Why is it important?
Wasf-Vec word embedding addresses the issue of sparsity caused by high language morphology using kmeans clustering.
Read the Original
This page is a summary of: Wasf-Vec, ACM Transactions on Asian and Low-Resource Language Information Processing, March 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3345517.
You can read the full text:
Contributors
The following have contributed to this page
