Pierre Lison, Ildikó Pilán, David Sánchez 0001, Montserrat Batet, Lilja Øvrelid. Anonymisation Models for Text Data: State of the art, Challenges and Future Directions. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. pages 4188-4203, Association for Computational Linguistics, 2021. [doi]
@inproceedings{LisonPSBO20,
title = {Anonymisation Models for Text Data: State of the art, Challenges and Future Directions},
author = {Pierre Lison and Ildikó Pilán and David Sánchez 0001 and Montserrat Batet and Lilja Øvrelid},
year = {2021},
url = {https://aclanthology.org/2021.acl-long.323},
researchr = {https://researchr.org/publication/LisonPSBO20},
cites = {0},
citedby = {0},
pages = {4188-4203},
booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021},
editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-52-7},
}