G2T: Generating Fluent Descriptions for Knowledge Graph.
Yunzhou Shi|Zhiling Luo|Pengcheng Zhu|Feng Ji|Wei Zhou|Haiqing Chen|Yujiu Yang
| Anthology ID: | DBLP:conf/sigir/ShiLZJZCY20 |
|---|---|
| Volume: | Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 |
| Year: | 2020 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1861-1864 |
| URL: | https://doi.org/10.1145/3397271.3401289 |
| DOI: | https://doi.org/10.1145/3397271.3401289 |
| DBLP: | conf/sigir/ShiLZJZCY20 |
| BibTeX: |
@inproceedings{shi-2020-g2t,
author = {Yunzhou Shi and
Zhiling Luo and
Pengcheng Zhu and
Feng Ji and
Wei Zhou and
Haiqing Chen and
Yujiu Yang},
editor = {Jimmy Huang and
Yi Chang and
Xueqi Cheng and
Jaap Kamps and
Vanessa Murdock and
Ji-Rong Wen and
Yiqun Liu},
title = {{G2T: Generating Fluent Descriptions for Knowledge Graph}},
booktitle = {{Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020}},
pages = {1861--1864},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3397271.3401289},
doi = {https://doi.org/10.1145/3397271.3401289}
}