Sicheng Zhao

Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld

2018 · arXiv (Cornell University)

Large-scale labeled training datasets have enabled deep neural networks to excel on a wide range of benchmark vision tasks. However, in many applications it is prohibitively expensive or time-consuming to obtain large quantities of labeled …

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

State-of-the-art studies have demonstrated the superiority of joint modeling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes. To exploit these benefits in a more …