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- W4387316611 abstract "The few-shot incremental event detection task requires model can incrementally learning with a limited sample. This task facilitates rapid text categorization. Existing methods for sample retention have been found to produce prototype bias issues resulting from the small sample size. To address this problem, we introduce a novel approach that utilizes external knowledge for sample retention. Our method involves the use of encoded external knowledge and samples as prototypes, from which we select a retention sample. Experimental results demonstrate the efficacy of our method in reducing prototype bias." @default.
- W4387316611 created "2023-10-04" @default.
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- W4387316611 date "2023-04-01" @default.
- W4387316611 modified "2023-10-06" @default.
- W4387316611 title "Few-Shot Incremental Event Detection Method Based on External Knowledge for Sample Preservation" @default.
- W4387316611 cites W2512522169 @default.
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- W4387316611 doi "https://doi.org/10.1109/scset58950.2023.00036" @default.
- W4387316611 hasPublicationYear "2023" @default.
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