CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings.

Huahang Li|Shuangyin Li|Yuncheng Jiang|Gansen Zhao


Anthology ID:DBLP:conf/cikm/LiLJZ22
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:1104-1113
URL:https://doi.org/10.1145/3511808.3557270
DOI:https://doi.org/10.1145/3511808.3557270
DBLP:conf/cikm/LiLJZ22
BibTeX:
@inproceedings{li-2022-copate, author = {Huahang Li and Shuangyin Li and Yuncheng Jiang and Gansen Zhao}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {1104--1113}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557270}, doi = {https://doi.org/10.1145/3511808.3557270} }