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TEI-friendly annotation scheme for medieval named entities: a case on a Spanish medieval corpus
Elena Álvarez-Mellado1, María Luisa Díez-Platas1, Pablo Ruiz-Fabo1
1Digital Humanities Innovation Lab (LINHD), School of Computer Science, UNED University, Madrid, Spain.
Abstract:
Medieval documents are a rich source of historical data. Performing named-entity recognition (NER) on this genre of texts can provide us with valuable historical evidence. However, traditional NER categories and schemes are usually designed with modern documents in mind (i.e. journalistic text) and the general-domain NER annotation schemes fail to capture the nature of medieval entities. In this paper we explore the challenges of performing named-entity annotation on a corpus of Spanish medieval documents: we discuss the mismatches that arise when applying traditional NER categories to a corpus of Spanish medieval documents and we propose a novel humanist-friendly TEI-compliant annotation scheme and guidelines intended to capture the particular nature of medieval entities.
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