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Author

Filip Ginter

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Conference Open access Aug 2026

The Algorithmic Challenges and Opportunities in Tracing Meaning at Scale in Large Historical Document Collections

The capabilities of modern language models are expanding the questions that computational history can pose. In this position paper we argue for a research program organized as a progression of increasingly semantic forms of text reuse, moving from surface-level lexical matching, through cross-lingual translation mining...

F. Ginter, Mikko Tolonen, Anna Plassart et al. · 0 citations
Open access Jul 2026

Large Language Models for Risk Detection in E-commerce: Reliability, Semantic Alignment, and Managerial Insights

This study presents a novel, manually annotated dataset of 121 business news articles related to five major steel companies, using the Cambridge Risk Taxonomy, and provides empirical evidence on the opportunities and limitations of LLMs for both analytical and narrative forms of automated risk assessment.

Laleh Davoodi, Filip Ginter, Sima Salimi et al. · 0 citations

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