Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost

Oana Ignat, Longju Bai, Joan C. Nwatu, Rada Mihalcea. Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost. In Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy. pages 1239-1259, ELRA and ICCL, 2024. [doi]

@inproceedings{IgnatBNM24,
  title = {Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost},
  author = {Oana Ignat and Longju Bai and Joan C. Nwatu and Rada Mihalcea},
  year = {2024},
  url = {https://aclanthology.org/2024.lrec-main.112},
  researchr = {https://researchr.org/publication/IgnatBNM24},
  cites = {0},
  citedby = {0},
  pages = {1239-1259},
  booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy},
  editor = {Nicoletta Calzolari and Min-Yen Kan and Véronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue},
  publisher = {ELRA and ICCL},
  isbn = {978-2-493814-10-4},
}