Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance.
Olanrewaju Tahir Aduragba|Jialin Yu|Alexandra I. Cristea|Yang Long
| Anthology ID: | DBLP:conf/www/AduragbaYCL23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3928-3936 |
| URL: | https://doi.org/10.1145/3543507.3583877 |
| DOI: | https://doi.org/10.1145/3543507.3583877 |
| DBLP: | conf/www/AduragbaYCL23 |
| BibTeX: |
@inproceedings{aduragba-2023-improving,
author = {Olanrewaju Tahir Aduragba and
Jialin Yu and
Alexandra I. Cristea and
Yang Long},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {3928--3936},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583877},
doi = {https://doi.org/10.1145/3543507.3583877}
}