Hongyuan Zhu

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition

2019

We propose a new neural transfer method termed Dual Adversarial Transfer Network (DATNet) for addressing low-resource Named Entity Recognition (NER). Specifically, two variants of DATNet, i.e., DATNet-F and DATNet-P, are investigated to explore effective feature …

XAI Beyond Classification: Interpretable Neural Clustering

2018 · arXiv (Cornell University)

In this paper, we study two challenging problems in explainable AI (XAI) and data clustering. The first is how to directly design a neural network with inherent interpretability, rather than giving post-hoc explanations of a …