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} }