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Recognising non-named spatial entities in literary texts: a novel spatial entities classifier
In this paper, we present a case study on the prediction of what we call ‘non-named spatial entities’ (NNSE) in a historical corpus of Swiss-German novels using a deep learning model in conjunction wi...
In this paper, we present a case study on the prediction of what we call ‘non-named spatial entities’ (NNSE) in a historical corpus of Swiss-German novels using a deep learning model in conjunction with BERT and Prodigy.
Source: Explosion
Word count: 184 words
Published on 2024-12-04 08:00