Résultat de la recherche
Towards a common model for European Poetry: Challenges and solutions
This paper stems from the analysis of multiple poetic resources that were available online, as well as the results of methodological discussions with scholars of European Literature. The goal was to retrieve the informational needs of all these different sources in order to build a common data model for European Poetry (EP). Thus, by implementing a reverse engineering method, we have created the Domain Model for EP, which is an important breakthrough for making existent poetry resources interoperable. The lack of a uniform academic approach to analyse and classify poetic manifestations, the divergence of theories when comparing poetry schools from different languages and periods is some of the factors that hinder the modelling process. In this paper, we will present some of the challenges we encountered while conceptualizing the information relevant to poetic analysis and how we have worked around them. Some elements of the ontology will be presented to illustrate our modelling strategies.
TEI-friendly annotation scheme for medieval named entities: a case on a Spanish medieval corpus
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.