CStory: A Chinese Large-scale News Storyline Dataset.
Kaijie Shi|Xiaozhi Wang|Jifan Yu|Lei Hou|Juanzi Li|Jingtong Wu|Dingyu Yong|Jinghui Xiao|Qun Liu
| Anthology ID: | DBLP:conf/cikm/ShiWY0LWYX022 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4475-4479 |
| URL: | https://doi.org/10.1145/3511808.3557573 |
| DOI: | https://doi.org/10.1145/3511808.3557573 |
| DBLP: | conf/cikm/ShiWY0LWYX022 |
| BibTeX: |
@inproceedings{shi-2022-cstory,
author = {Kaijie Shi and
Xiaozhi Wang and
Jifan Yu and
Lei Hou and
Juanzi Li and
Jingtong Wu and
Dingyu Yong and
Jinghui Xiao and
Qun Liu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{CStory: A Chinese Large-scale News Storyline Dataset}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4475--4479},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557573},
doi = {https://doi.org/10.1145/3511808.3557573}
}