Search Results for author:
Found 7 papers, 6 papers with code
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing.
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital).
Neural Language Models for Nineteenth-Century English
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5. 1 billion tokens.
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.
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
We report its performance on candidate selection in the context of the downstream task of toponym resolution, both on existing datasets and on a new manually-annotated resource of nineteenth-century English OCR'd text.
Living Machines: A study of atypical animacy
This paper proposes a new approach to animacy detection, the task of determining whether an entity is represented as animate in a text.
