2016
Breaking Sticks and Ambiguities with Adaptive Skip-gram
AISTATS 2016poster
The recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words. However, Skip-gram as well as most prior work on learning word representations does not take into account word ambiguity and maintain…