arxiv:1904.04055

Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF

Published on Apr 3, 2019

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Abstract

New Polish word embeddings are evaluated for temporal expression recognition using a BiLSTM network with a CRF layer.

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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.

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