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.
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding [link]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