Supplementary Material for: Text-based Geolocation with a Byte-level Language Model

This is supplementary material for the paper "Text-based Geolocation with a Byte-level Language Model", accepted at ECAI 2024. The main paper should be considered the primary reference. This supplementary material is made available for additional details, extended results, or other information that could not be included in the main paper due to space constraints.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-21
DOI
https://doi.org/10.5281/zenodo.13353381
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplementary Material for: Text-based Geolocation with a Byte-level Language Model

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

Supplementary Material for: Text-based Geolocation with a Byte-level Language Model

article en

Abstract

This is supplementary material for the paper "Text-based Geolocation with a Byte-level Language Model", accepted at ECAI 2024. The main paper should be considered the primary reference. This supplementary material is made available for additional details, extended results, or other information that could not be included in the main paper due to space constraints.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
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Supplementary Material for: Text-based Geolocation with a Byte-level Language Model · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS