%0 Journal Article
%T Evaluating KGR10 Polish Word Embeddings in the Recognition of Temporal Expressions Using BiLSTM-CRF
%A Kocoń, Jan
%A Gawor, Michał
%J Schedae Informaticae
%V 2018
%R 10.4467/20838476SI.18.008.10413
%N Volume 27
%P 93-106
%K word embeddings, temporal expressions, recognition, TimeML, CRF, LSTM, BiLSTM, KGR10, FastText
%@ 1732-3916
%D 2018
%U https://ejournals.eu/en/journal/schedae-informaticae/article/evaluating-kgr10-polish-word-embeddings-in-the-recognition-of-temporal-expressions-using-bilstm-crf
%X 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.