Sarcasm Detection in Arabic Text Using Contextualized Models
Author:
Affiliation:
1. University of Sharjah,Dept. of Computer Science,Sharjah,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10336886/10336974/10337175.pdf?arnumber=10337175
Reference39 articles.
1. Arabert: Transformer-based model for arabic language understanding;Antoun;arXiv preprint,2020
2. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin;ar Xiv preprint,2018
3. Exploring Author Context for Detecting Intended vs Perceived Sarcasm
4. Identifying sar-casm in twitter: a closer look;González-Ibánez,2011
5. SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning
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1. Review on Recent Matrix Multiplication Optimization Using Deep Learning;Lecture Notes in Networks and Systems;2024
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