Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.
Yunzhi Yao|Shengyu Mao|Ningyu Zhang|Xiang Chen|Shumin Deng|Xi Chen|Huajun Chen
| Anthology ID: | DBLP:conf/sigir/YaoM0CDCC23 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 911-921 |
| URL: | https://doi.org/10.1145/3539618.3591763 |
| DOI: | https://doi.org/10.1145/3539618.3591763 |
| DBLP: | conf/sigir/YaoM0CDCC23 |
| BibTeX: |
@inproceedings{yao-2023-schemaaware,
author = {Yunzhi Yao and
Shengyu Mao and
Ningyu Zhang and
Xiang Chen and
Shumin Deng and
Xi Chen and
Huajun Chen},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {911--921},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591763},
doi = {https://doi.org/10.1145/3539618.3591763}
}