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Conference paper (published)
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching
We present DeezyMatch, a free, open-source software library written in Python for fuzzy string matching and candidate ranking. Its pair classifier supports various deep neural network architectures for training new classifiers and for fine-tuning a pretrained model, which paves the way for transfer learning in fuzzy string matching. This approach...Hosseini, Kasra ; Nanni, Federico ; Coll Ardanuy, Mariona
Natural Language Processing, string matching, toponym matching, machine learning, and digital humanities
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Journal article
Working at scale: what do computational methods mean for research using cases, models and collections?
Open access, peer-reviewed article published in Science Museum Group Journal, as part of a double-length special issue for the AHRC TaNC discovery project, 'Congruence Engine'. The article gives a critical overview of how 'scale' operates as a keyword within computational humanities as well as reviewing a number of cognate fields,...Wilson, Daniel C S
machine learning, AI for GLAM, STS, scale, computational humanities, history, and congruence engine