Aug 31, 2022 · In this paper, we propose an encryption learning framework to address the problems of data leakage and inconvenient disclosure of sensitive data ...
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Sep 22, 2023 · We propose a deep learning framework for the NER task based on multiple data encryptions. Our framework overcomes certain limitations of federated learning.
This paper proposes an encryption learning framework to address the problems of data leakage and inconvenient disclosure of sensitive data in certain ...
In this paper, we propose an encryption learning framework to address the problems of data leakage and inconvenient disclosure of sensitive data in certain ...
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Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into ...
Feb 7, 2022 · Our paper is the first one to systematically summarize the latest development of CNER based on some characteristics of Chinese.
Missing: Encryption | Show results with:Encryption
This paper introduces a novel NER methodology tailored for the Chinese cybersecurity corpus, termed CSBERT-IDCNN-BiLSTM-CRF.
Missing: Encryption | Show results with:Encryption
In the field of Chinese-named entity recognition, recent research has sparked new interest by combining lexical features with character-based methods.
Missing: Encryption | Show results with:Encryption
Mar 31, 2023 · Named entity recognition (NER) is to extract and classify entities with specific meanings, such as person (PER), location (LOC), and ...
Oct 28, 2015 · Rapid growth in electronic health records (EHRs) use has led to an unprecedented expansion of available clinical data in electronic formats.