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• W2947367518 abstract "Geographic text analysis (GTA) research in the digital humanities has focused on projects analyzing modern English-language corpora. These projects depend on temporally specific lexicons and gazetteers that enable place name identification and georesolution. Scholars working on the early modern period (1400–1800) lack temporally appropriate geoparsers and gazetteers and have been reliant on general purpose linked open data services like Geonames. These anachronistic resources introduce significant information retrieval and ethical challenges for early modernists. Using the geography entries of the canonical eighteenth-century Encyclopédie, we evaluate rule-based named entity recognition (NER) systems to pinpoint areas where they would benefit from adjustments for processing historical corpora. As we demonstrate, annotating nested and extended place information is one way to improve early modern GTA. Working with Enlightenment sources also motivates a critique of the landscape of digital geospatial data." @default.
• W2947367518 created "2019-06-07" @default.
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• W2947367518 date "2019-05-27" @default.
• W2947367518 modified "2023-10-03" @default.
• W2947367518 title "Named entity recognition goes to old regime France: geographic text analysis for early modern French corpora" @default.
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• W2947367518 doi "https://doi.org/10.1080/13658816.2019.1620235" @default.
• W2947367518 hasPublicationYear "2019" @default.
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