Online Aggression Identification Using Ensembled Transformer-based Language Models-Reference-Cited by-同舟云学术

Online Aggression Identification Using Ensembled Transformer-based Language Models

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Chinivar Sneha¹,M S Roopa²,J S Arunalatha¹,K R Venugopal³

Affiliation:

1. Bangalore University,UVCE,Dept. of CSE,Bengaluru,India

2. Dayananda Sagar College of Engineering,Dept. of CSE,Bengaluru,India

3. Bangalore University,Former Vice Chancellor UVCE,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307921.pdf?arnumber=10307921

Reference23 articles.

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2. Ai ml nit patna@ trac-2: Deep learning approach for multi-lingual aggression identification;kumari;Proceedings of the Second Workshop on Trolling Aggression and Cyberbullying,2020

3. Multi-task learning for detection of aggressive and violent incidents from social media;ta;Proceedings of the 2022 Iberian Languages Evaluation Forum IberLEF,2022

4. Detection of aggressive and violent incidents from social media in spanish using pre-trained language model;tonja;Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) CEUR Workshop Proceedings CEUR-WS org,2022

5. Aggressive Language Detection Using VGCN-BERT for Spanish Texts

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1. Online aggression detection using ensemble techniques on fine-tuned transformer-based language models;International Journal of Computers and Applications;2024-07-23