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An Outline of AI-Driven Homogenization of Geographical Named Entities in Textual Data
Adam Albert, Petr Rapant, Marek Menšík
338 - 352
10.3233/FAIA241590
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 399: Information Modelling and Knowledge Bases XXXVI
Abstract

This paper explores an outline of the application of AI in standardizing place names within urban narratives, addressing discrepancies caused by diverse agent terminologies. By leveraging AI chatbots for named entity recognition, coreference resolution, and entity linking, the study proposes an interactive methodology for homogenizing place names across different accounts. This innovative approach aims to enhance the accuracy of information extraction from narratives, demonstrating the potential of AI models over traditional linguistic methods in resolving place name inconsistencies.

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