A multimodal transformer that fuses language, image, and polygon geometry links recognized words into reading-order phrases on historical maps better than prior methods.
In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)
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LIGHT: Multi-Modal Text Linking on Historical Maps
A multimodal transformer that fuses language, image, and polygon geometry links recognized words into reading-order phrases on historical maps better than prior methods.