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CorefLat. Coreference Resolution for Latin as Linked Open Data

Authors: Delfino E.; Leotta R. G.; Mambrini F.; Passarotti M.; Moretti G.;

CorefLat. Coreference Resolution for Latin as Linked Open Data

Abstract

This paper presents the publication as Linked Open Data of a set of coreference and anaphora annotations (called CorefLat) performed on a set of Latin texts. Annotations are made on texts already available as Linked Open Data as part of the LiLa Knowledge Base of interoperable linguistic resources for Latin. By adopting a lemma-centered architecture and established guidelines for annotation inspired by those of the GUM corpus, CorefLat systematically identifies and tags entities and mentions, creating relational links. The annotated corpus covers multiple periods and genres, including Augustine’s Confessiones, Plautus’ Curculio, Caesar’s De Bello Gallico, and Seneca’s Medea, ensuring a balanced dataset for broader linguistic analysis. The publication of CorefLat as Linked Open Data relies on an OWL ontology that extends the POWLA framework, thus enabling interoperability with diverse linguistic resources within LiLa. We detail how coreference relations, including phenomena such as anaphora, cataphora, split antecedents, and multiword units, are encoded through specialized classes and object properties.

Keywords

Latin, Linguistic Resources, Coreference and Anaphora Resolution, Linguistic Linked Open Data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green