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Oct, 2019
深度学习模型中命名实体识别的最近进展综述
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
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Vikas Yadav, Steven Bethard
TL;DR
本文综述了深度神经网络在命名实体识别方面的应用，相对于传统的基于特征工程和监督或半监督学习算法的实体识别方法，神经网络在该领域中取得了更好的效果，并表明吸收过去的基于特征的NER系统的一些经验教训可以进一步提高性能。
Abstract
named entity recognition
(NER) is a key component in NLP systems for question answering, information retrieval, relation extraction, etc. NER systems have been studied and developed widely for decades, but accurate systems using
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