SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation

Research article (Findings of the Association for Computational Linguistics: EMNLP 2022, 2022) · cited 26× · AI/ML
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SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation

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SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/spabert-a-pretrained-language-model-from-geographic-data-for-geo-entity-representation
MLA “SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spabert-a-pretrained-language-model-from-geographic-data-for-geo-entity-representation.
BibTeX @misc{4ortxyz_spabert-a-pretrained-language-model-from-geographic-data-for-geo-entity-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation}}, year = {2026}, url = {https://4ort.xyz/entity/spabert-a-pretrained-language-model-from-geographic-data-for-geo-entity-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation — https://4ort.xyz/entity/spabert-a-pretrained-language-model-from-geographic-data-for-geo-entity-representation (retrieved 2026-05-24)

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