  The article introduces a new set of Polish word embeddings, built using KGR10
corpus, which contains more than 4 billion words. These embeddings are
evaluated in the problem of recognition of temporal expressions (timexes) for
the Polish language. We described the process of KGR10 corpus creation and a
new approach to the recognition problem using Bidirectional Long-Short Term
Memory (BiLSTM) network with additional CRF layer, where specific embeddings
are essential. We presented experiments and conclusions drawn from them.
