HeGeL: A Novel Dataset for Geo-Location from Hebrew Text

Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, Itzhak Omer, Sagi Dalyot, Reut Tsarfaty. HeGeL: A Novel Dataset for Geo-Location from Hebrew Text. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 7311-7321, Association for Computational Linguistics, 2023. [doi]

@inproceedings{Paz-ArgamanBMOD23,
  title = {HeGeL: A Novel Dataset for Geo-Location from Hebrew Text},
  author = {Tzuf Paz-Argaman and Tal Bauman and Itai Mondshine and Itzhak Omer and Sagi Dalyot and Reut Tsarfaty},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.460},
  researchr = {https://researchr.org/publication/Paz-ArgamanBMOD23},
  cites = {0},
  citedby = {0},
  pages = {7311-7321},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}