Transformer Based Geocoding

Yuval Solaz; Vitaly Shalumov

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arXiv · 2301.01170

Transformer Based Geocoding

Yuval Solaz·Vitaly Shalumov

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Abstract

In this paper, we formulate the problem of predicting a geolocation from free text as a sequence-to-sequence problem. Using this formulation, we obtain a geocoding model by training a T5 encoder-decoder transformer model using free text as an input and geolocation as an output. The geocoding model was trained on geo-tagged wikidump data with adaptive cell partitioning for the geolocation representation. All of the code including Rest-based application, dataset and model checkpoints used in this work are publicly available.

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Yuval Solaz, Vitaly Shalumov. 2023-01-02. Transformer Based Geocoding. https://arxiv.org/abs/2301.01170

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