Breaking Sticks and Ambiguities with Adaptive Skip-gram

25 Feb 2015Sergey BartunovDmitry KondrashkinAnton OsokinDmitry Vetrov

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 only single representation per word... (read more)

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