Shortcut Learning Explanations for Deep Natural Language Processing: A Survey on Dataset Biases-Reference-Cited by-同舟云学术

Shortcut Learning Explanations for Deep Natural Language Processing: A Survey on Dataset Biases

Published:2024 Issue: Volume:12 Page:26183-26195
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dogra Varun¹^ORCID,Verma Sahil²^ORCID,Kavita ²^ORCID,Woźniak Marcin³^ORCID,Shafi Jana⁴^ORCID,Ijaz Muhammad Fazal⁵^ORCID

Affiliation:

1. School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India

2. Uttaranchal University, Dehradun, India

3. Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland

4. Department of Computer Engineering and Information, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Wadi Alddawasir, Saudi Arabia

5. School of IT and Engineering, Melbourne Institute of Technology, Melbourne, VIC, Australia

Funder

Silesian University of Technology

Prince Sattam bin Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10416838.pdf?arnumber=10416838

Reference87 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv:1810.04805,2018

2. Language models are few-shot learners;Brown

3. Probing Neural Network Comprehension of Natural Language Arguments

4. Semantics derived automatically from language corpora contain human-like biases

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Streamlit-based enhancing crop recommendation systems with advanced explainable artificial intelligence for smart farming;Neural Computing and Applications;2024-08-10

2. Aspect-Based Approaches for Measuring Customer Feedback in the E-Commerce Industry;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

3. A Comprehensive Review of Bias in Deep Learning Models: Methods, Impacts, and Future Directions;Archives of Computational Methods in Engineering;2024-05-08

4. Real-Time Ideation Analyzer and Information Recommender;Electronics;2024-05-02