M.S. in Artificial Intelligence and Innovation at Carnegie Mellon University (CMU), in Language Technology institute (LTI, which focus on language models). Understand language model well, knows the-state-of-the-art language model. Did lots of text classification, sentiment classification projects at CMU. Interned at Google Ads modeling team and will start working in full-time in July at Google, California.
Built text classification model with CNN, BERT in Deep Learning and Machine Translation course at CMU. Know the state-of-the-art text classification model
I used CNN model to do text classification which have extraordinary performance while simple, fast and light enough.
I also used BERT to do text classification. Note that multitask learning can be helpful in cases where training data is limited.
I also used BERT to do text classification. Note that multitask learning can be helpful in cases where training data is limited.