Identification of Participants of Narratives Using Knowledge Bases

• Juliana Machado Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) / Universidade Federal de Santa Catarina (UFSC)
• Evelin Amorim Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)

DOI: https://doi.org/10.5753/sbbd.2024.243103

Resumo

Identifying participants in narratives is important to understand and extract meaning from unstructured texts. This paper investigates the use of DBpedia and Wikifier for this task. We tested these two knowledge base platforms to evaluate their performance in recognizing and extracting entities in Portuguese-language journalistic narrative texts. The results show that both DBpedia and Wikifier present similar results in identifying participants, around 0.40 in the f1-score. The objective of this paper is to study the potential of knowledge bases to improve the understanding of narratives, in addition to suggesting directions for future research in this domain.

Palavras-chave: Natural Language Processing, Entity Linking, Knowledge Bases

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