Abstract
This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.
Original language | English |
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Title of host publication | Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora |
Publisher | European Language Ressources Association |
Pages | 24–30 |
Publication status | Published - 1 May 2020 |
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Dive into the research topics of 'Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts'. Together they form a unique fingerprint.Datasets
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GazetteersScotland-KG: A Knowlege Graph for representing the Gazetteers of Scotland (1803-1901)
Filgueira, R. (Creator), Zenodo, 2022
Dataset