The Impact of Combining Arabic Sarcasm Detection Datasets On The Performance Of BERT-based Model-Reference-Cited by-同舟云学术

The Impact of Combining Arabic Sarcasm Detection Datasets On The Performance Of BERT-based Model

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Systems (ICICS)
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Author:

Obeidat Rasha¹,Bashayreh Amjad¹,Younis Lojin Bani¹

Affiliation:

1. Jordan University of Science and Technology,Department of Computer Science,Irbid,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9810981/9811103/09811141.pdf?arnumber=9811141

Reference51 articles.

1. Leveraging offensive language for sarcasm and sentiment detection in arabic;husain;Proceedings of the Sixth Arabic Natural Language Processing Workshop,2021

2. Deep multi-task model for sarcasm detection and sentiment analysis in arabic language;mahdaouy;arXiv preprint arXiv 2106 13112,2021

3. Sarcasm and sentiment detection in arabic tweets using bert-based models and data augmentation;abuzayed;Proceedings of the Sixth Arabic Natural Language Processing Workshop,2021

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv preprint arXiv 1810 04805,2018

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