GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. Li, Z., Zhou, W., Chiang, Y., & Chen, M. In Bouamor, H., Pino, J., & Bali, K., editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5227–5240, Singapore, December, 2023. Association for Computational Linguistics.
Paper doi bibtex 3 downloads @inproceedings{li-etal-2023-geolm,
title = "{G}eo{LM}: Empowering Language Models for Geospatially Grounded Language Understanding",
author = "Li, Zekun and
Zhou, Wenxuan and
Chiang, Yao-Yi and
Chen, Muhao",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.317",
doi = "10.18653/v1/2023.emnlp-main.317",
pages = "5227--5240",
}
Downloads: 3
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