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2020
Conference paper (unpublished)
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candidate selection is the task of identifying the potential entities that can be referred to by a toponym... -
2021
Dataset
StopsGB: Structured Timeline of Passenger Stations in Great Britain
Michael Quick's book _Railway Passenger Stations in Great Britain: a Chronology_ offers a uniquely rich and detailed account of Britain's changing railway infrastructure. Its listing of over 12,000 stations allows us to reconstruct the coming of rail at both micro- and macro-scales. However, being published originally as a book (and... -
2020
Dataset
Living Machines atypical animacy dataset
Atypical animacy detection dataset, based on nineteenth-century sentences in English extracted from an open dataset of nineteenth-century books digitized by the British Library (available via https://doi.org/10.21250/db14, British Library Labs, 2014). This dataset contains 598 sentences containing mentions of machines. Each sentence has been annotated according to the animacy and humanness... -
2020
Conference paper (unpublished)
Assessing the Impact of OCR Quality on Downstream NLP Tasks
A growing volume of heritage data is being digitized and made available as text via optical character recognition (OCR). Scholars and libraries are increasingly using OCR-generated text for retrieval and analysis. However, the process of creating text through OCR introduces varying degrees of error to the text. The impact of...