Our multimodal word representation can also disentangle meanings, and is able to separate different senses in foreign polysemies.
our models attain state-of-the-art performance on SCWS, a benchmark to measure the ability to separate different word meanings, achieving 1.0% improvement over a recent density embedding model W2GM (Athiwaratkun and Wilson, 2017).