Narrative Extraction from Semantic Graphs (Short Paper)

dc.contributor.author José Paulo Leal en
dc.contributor.other 5125 en
dc.date.accessioned 2023-10-26T18:32:35Z
dc.date.available 2023-10-26T18:32:35Z
dc.date.issued 2023 en
dc.description.abstract This paper proposes an interactive approach for narrative extraction from semantic graphs. The proposed approach extracts events from RDF triples, maps them to their corresponding attributes, and assembles them into a chronological sequence to form narrative graphs. The approach is evaluated on the Wikidata graph and achieves promising results in terms of narrative quality and coherence. The paper also discusses several avenues for future work, including the integration of machine learning, graph embedding methods and the exploration of advanced techniques for attention-based narrative labeling and semantic role labeling. Overall, the proposed method offers a promising approach to narrative extraction from semantic graphs and has the potential to be useful in various applications, including chatbots, conversational agents, and content creation tools. © Daniil Lystopadskyi, André Santos, and José Paulo Leal; en
dc.identifier P-00Z-2RN en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14503
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Narrative Extraction from Semantic Graphs (Short Paper) en
dc.type en
dc.type Publication en
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