Resilience of Named Entity Recognition models against adversarial attacks
Adversarial Attacks are actions that aims to mislead models by introducing subtle and often imperceptible changes in model’s input. Providing resilience for such kind of risk is key for all Natural Language Processing (NLP) task specific models. Current state of the art solution for one of NLP task...
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Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2025-07-01
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Series: | International Journal of Electronics and Telecommunications |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/135744/16_5108_Walkowiak_L_sk.pdf |
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