Pei Yang

Task-Adversarial Co-Generative Nets

2019

In this paper, we propose Task-Adversarial co-Generative Nets (TAGN) for learning from multiple tasks. It aims to address the two fundamental issues of multi-task learning, i.e., domain shift and limited labeled data, in a principled …

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

2017 · Bioinformatics

Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are …