就是总结下自己看的关于adversarial in NLP方面论文(看的太少啦,需要多多努力)
该篇的博文的雏形应该是:adversarial 在NLP都应用了在了那些任务上,介绍下对抗如何解决这些任务?
监督学习
image classification (explaining and harnessing adversarial examples, 2014)
分词:Adversarial Multi-Criteria Learning for Chinese Word Segmentation半监督学习
text classification (Adversarial training methods for semi-supervised text classification, 2017)
-弱监督学习
relation extraction:通过给原始数据增加扰动,增大神经网络模型的loss,得出类别label
(adversarial training for relation extraction, 2017)
在NLP方面的adversarial training:
an Interpretable Generative adversarial approach to classification of latent entity relations in unstructured sentence (AAAI2018)
part-of-speech tagging for twitter with adversarial neural networks (EMNLP2017)
adversarial training methods for semi-supervised text classification(ICLR2017)
adversarial training for relation extraction(EMNLP2017)
adversarial multi-criteria learning for Chinese word segmentation(ACL2017)