Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection.

Kaiting Lai|Yinong Long|Bowen Wu|Ying Li|Baoxun Wang


Anthology ID:DBLP:conf/cikm/LaiLWLW22
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:1003-1013
URL:https://doi.org/10.1145/3511808.3557448
DOI:https://doi.org/10.1145/3511808.3557448
DBLP:conf/cikm/LaiLWLW22
BibTeX:
@inproceedings{lai-2022-semorph, author = {Kaiting Lai and Yinong Long and Bowen Wu and Ying Li and Baoxun Wang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {1003--1013}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557448}, doi = {https://doi.org/10.1145/3511808.3557448} }