Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders

Simon Šuster, Ivan Titov, Gertjan van Noord

We present an approach to learning multi-sense word embeddings relying both on monolingual and bilingual information. Our model consists of an encoder, which uses monolingual and b…