Capturing Themed Evidence, a Hybrid Approach

作者: Enrico Daga , Enrico Motta

DOI: 10.1145/3360901.3364415

关键词: Data scienceDigital humanitiesInformation extractionExpression (architecture)Task (project management)Semantic WebComputer scienceGeneralityTheme (narrative)Active listening

摘要: The task of identifying pieces evidence in texts is fundamental importance supporting qualitative studies various domains, especially the humanities. In this paper, we coin expression themed evidence, to refer (direct or indirect) traces a fact situation relevant theme interest and study problem them texts. We devise generic framework aimed at capturing based on hybrid approach, combining statistical natural language processing, background knowledge, Semantic Web technologies. effectiveness method demonstrated case digital humanities database collecting curating repository experiences listening music. Extensive experiments demonstrate that our approach outperforms alternative solutions. also its generality by testing it different use

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