BriefGPT.xyz
Sep, 2017
利用任务感知的神经语言模型增强序列标注
Empower Sequence Labeling with Task-Aware Neural Language Model
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Liyuan Liu, Jingbo Shang, Frank Xu, Xiang Ren, Huan Gui...
TL;DR
本研究提出了一种新颖的神经网络框架,将预先训练好的字级知识和字符感知神经语言模型相结合,利用转移学习技术实现不依赖于额外监督信号的序列标注任务,并在基准数据集上通过大量实验验证了其有效性和高效性。
Abstract
linguistic sequence labeling
is a general modeling approach that encompasses a variety of problems, such as part-of-speech tagging and
named entity recognition
. Recent advances in
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