Evaluating KGR10 Polish Word Embeddings in the Recognition of Temporal Expressions Using BiLSTM-CRF
Choose format
RIS BIB ENDNOTEEvaluating KGR10 Polish Word Embeddings in the Recognition of Temporal Expressions Using BiLSTM-CRF
Publication date: 2018
Schedae Informaticae, 2018, Volume 27, pp. 93-106
https://doi.org/10.4467/20838476SI.18.008.10413Authors
Evaluating KGR10 Polish Word Embeddings in the Recognition of Temporal Expressions Using BiLSTM-CRF
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.
Information: Schedae Informaticae, 2018, Volume 27, pp. 93-106
Article type: Original article
Department of Computational Intelligence, Faculty of Computer Science and Management, Wroclaw University of Technology
Department of Computational Intelligence, Faculty of Computer Science and Management, Wroclaw University of Technology
Published at: 2018
Article status: Open
Licence: CC BY-NC-ND
Percentage share of authors:
Article corrections:
-Publication languages:
EnglishView count: 1905
Number of downloads: 0