Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning

Jingyu Zhang, Alexandra DeLucia, Chenyu Zhang, Mark Dredze. Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning. 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 4778-4794, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangDZD23,
  title = {Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning},
  author = {Jingyu Zhang and Alexandra DeLucia and Chenyu Zhang and Mark Dredze},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.294},
  researchr = {https://researchr.org/publication/ZhangDZD23},
  cites = {0},
  citedby = {0},
  pages = {4778-4794},
  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},
}