Google Quest Q&A Labeling

Created models for improving automated understanding of complex question answer content. This was a regression task with 30 labels. Utilized multiple Natural language processing models with Huggingface (Pytorch) library. Utilized BERT, Roberta model from Huggingface (Pytorch) library for this Natural language processing task. Ranked top 3%.