SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks.
Michael Shliselberg|Ashkan Kazemi|Scott A. Hale|Shiri Dori-Hacohen
| Anthology ID: | DBLP:conf/sigir/ShliselbergKHD24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2801-2805 |
| URL: | https://doi.org/10.1145/3626772.3657667 |
| DOI: | https://doi.org/10.1145/3626772.3657667 |
| DBLP: | conf/sigir/ShliselbergKHD24 |
| BibTeX: |
@inproceedings{shliselberg-2024-syndy,
author = {Michael Shliselberg and
Ashkan Kazemi and
Scott A. Hale and
Shiri Dori-Hacohen},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2801--2805},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657667},
doi = {https://doi.org/10.1145/3626772.3657667}
}