Transfer learning for Czech Historical Named Entity Recognition
Helena Hubková and Pavel KrálRecent Advances in Natural Language Processing (2021)
Neural Networks | Named Entity Recognition
Named Entity Recognition (NER) automatically identifies words or phrases of a special meaning in texts and classifies them into groups (e.g. persons, organizations, products, dates, cities, coutnries, product names). We have successfully employed a modern BERT-like model focused on Czech language.