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

arXiv: https://arxiv.org/abs/1904.04055 · HTML: https://mlsanity.com/paper/1904.04055/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Apr 2019.

## Built on by (most cited first, 1 of 1)

- [Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets](https://mlsanity.com/paper/2312.04715/) (2023)

## Abstract (arXiv)

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.