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Dec, 2020
自然语言处理中的持续终身学习:综述
Continual Lifelong Learning in Natural Language Processing: A Survey
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Magdalena Biesialska, Katarzyna Biesialska, Marta R. Costa-jussà
TL;DR
本文通过探讨NLP中的各种任务,分析了现有神经网络模型中的CL问题,并对现有的CL评估方法和数据集进行了批判性评论,最后展望了未来的研究方向。
Abstract
continual learning
(CL) aims to enable information systems to learn from a continuous data stream across time. However, it is difficult for existing
deep learning
architectures to learn a new task without largely
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