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Conference paper (unpublished)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... -
Dataset
Datasets for toponym recognition and disambiguation for nineteenth-century English newspapers
We present two datasets, one for the task of toponym recognition and one for the task of toponym disambiguation. The datasets are derived from the "Dataset for Toponym Resolution in Nineteenth-Century English Newspapers" (DOI: https://doi.org/10.23636/r7d4-kw08). The toponym recognition dataset consists of two JSON files (ner_fine_train.json and ner_fine_dev.json), whereas the toponym...Coll Ardanuy, Mariona ; Nanni, Federico
toponym disambiguation, nineteenth-century newspapers, named entity recognition, entity linking, toponym resolution, toponym recognition, and dataset
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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...