Too Young to NER: Improving Entity Recognition on Dutch Historical Documents

Vera Provatorova, Marieke van Erp, Evangelos Kanoulas

Onderzoeksoutput: Bijdrage aan conferentiePaperWetenschappelijkpeer review

Samenvatting

Named entity recognition (NER) on historical texts is beneficial for the field of digital humanities, as it allows to easily search for the names of people, places and other entities in digitised archives. While the task of historical NER in different languages has been gaining popularity in recent years, Dutch historical NER remains an underexplored topic. Using a recently released historical dataset from the Dutch Language Institute, we train three BERT-based models and analyse the errors to identify main challenges. All three models outperform a contemporary multilingual baseline by a large margin on historical test data.
Originele taal-2Engels
Pagina's30-35
Aantal pagina's6
StatusGepubliceerd - 01 mei 2024

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