I occasionally write papers and/or support my coworkers with their papers. My research focuses on the intersection between Natural Language Processing and Deep Learning.

For the full list of papers, see my Google Scholar profile.

NeMo: a toolkit for building AI applications using Neural Modules (2019)
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M Cohen Accepted to Machine Learning Systems workshop at NeurIPS 2019.

The Propagation of Lies: Impeding the Spread of Misinformation (2017)
H Nguyen, C Huyi, P Warren
Detect echo chambers and recommend content of different perspectives. Spotlight talk at Prioritising Online Content workshop, NIPS 2017. Americas’ regional winner for Ericsson Innovation Awards 2018.

MEWR: Automatic Machine Translation Evaluation without Reference Texts (2017)
H Nguyen, J Chang
Unsupervised translation score with strong correlation with BLEU score and human evaluation. Poster at Women in Machine Learning 2017.

Neural Networks for Automated Essay Grading (2017)
H Nguyen, L Dery
Automatically grade essays using bi-directional LSTM. Achieved a QW-Kappa score of 0.945 compared to 0.814, Kaggle winner.