Neural Structural Correspondence Learning for Domain Adaptation

Yftah Ziser; Roi Reichart

2017 CoNLL CoNLL 2017

Neural Structural Correspondence Learning for Domain Adaptation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

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Authors

Yftah Ziser, Roi Reichart

Topics

Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Autoencoders Natural Language Processing Machine Learning > Learning Types > Transfer Learning

Keywords

representation learning domain adaptation word embedding structural correspondence learning autoencoder neural network cross-domain sentiment classification pivot feature

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