Keywords: faculty , research

One major focus in our lab is to develop better machine learning models for low resourced NLP tasks. Deep learning has achieved extremely good performance in most supervised learning settings. However, when there is only limited labeled data, these models often fail. This strong dependence on labeled data largely prevents neural network models from being applied to new settings or real-world situations.

https://mlatgt.blog/2020/09/08/learning-machines-natural-language-processing-explained-with-diyi-yang