CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
By: Juri Opitz, Corina Raclé, Emanuela Boros, Andrianos Michail, Matteo Romanello, Maud Ehrmann, Simon Clematide
Published: 2026-02-20
View on arXiv →#cs.AI
Abstract
This paper is part of the CLEF HIPE-2026 evaluation lab, focusing on the challenging task of accurately and efficiently extracting person-place relationships from diverse multilingual historical texts. This research contributes to advancing information retrieval and natural language processing techniques for historical documents, with implications for digital humanities and archival research.