SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks

Gustavo Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme


Anthology ID:
2021.findings-acl.367
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4193–4201
Language:
URL:
https://aclanthology.org/2021.findings-acl.367
DOI:
10.18653/v1/2021.findings-acl.367
Bibkey:
Cite (ACL):
Gustavo Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, and Ivan Rizzo Guilherme. 2021. SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4193–4201, Online. Association for Computational Linguistics.
Cite (Informal):
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks (Sousa et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.367.pdf
Optional supplementary material:
 2021.findings-acl.367.OptionalSupplementaryMaterial.zip
Video:
 https://aclanthology.org/2021.findings-acl.367.mp4