Named-entity recognition in Czech historical texts : Using a CNN-BiLSTM neural network model
The thesis presents named-entity recognition in Czech historical newspapers from Modern Access to Historical Sources Project. Our goal was to create a specific corpus and annotation manual for the project and evaluate neural networks methods for named-entity recognition within the task. We created t...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för lingvistik och filologi
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385682 |