Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations.
Zihan Wang|Kai Zhao|Yongquan He|Zhumin Chen|Pengjie Ren|Maarten de Rijke|Zhaochun Ren
| Anthology ID: | DBLP:conf/cikm/0002ZHCRRR23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2534-2543 |
| URL: | https://doi.org/10.1145/3583780.3614938 |
| DOI: | https://doi.org/10.1145/3583780.3614938 |
| DBLP: | conf/cikm/0002ZHCRRR23 |
| BibTeX: |
@inproceedings{wang-2023-iteratively,
author = {Zihan Wang and
Kai Zhao and
Yongquan He and
Zhumin Chen and
Pengjie Ren and
Maarten de Rijke and
Zhaochun Ren},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2534--2543},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614938},
doi = {https://doi.org/10.1145/3583780.3614938}
}