Semantic Structure and Interpretability of Word Embeddings

2 code implementations • 1 Nov 2017 • Lutfi Kerem Senel, Ihsan Utlu, Veysel Yucesoy, Aykut Koc, Tolga Cukur

Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their state-of-the-art performances in many NLP tasks.

Word Embeddings