Anusua Trivedi
Senior Data Scientist, Microsoft

Anusua Trivedi is a senior data scientist lead at Microsoft. She works on AI for Good—developing advanced deep learning models and AI solutions for humanitarian causes. Her focus is AI for healthcare, where she explores how AI can help make healthcare more affordable and accessible to everyone around the world. Previously, Anusua has held positions with UT Austin and the University of Utah. Anusua is a frequent speaker at machine learning and AI conferences.

Sessions

2:35pm–3:15pm Thursday, September 12, 2019

Location: 230 C

Transfer learning NLP: Machine reading comprehension for question answering

Models and Methods

Secondary topics: Design, Interfaces, and UX, Machine Learning, Text, Language, and Speech

Anusua Trivedi (Microsoft)

Average rating:

(2.33, 3 ratings)

Modern machine learning models often significantly benefit from transfer learning. Anusua Trivedi details a study of existing text transfer learning literature. She explores popular machine reading comprehension (MRC) algorithms and evaluates and compares the performance of the transfer learning approach for creating a question answering (QA) system for a book corpus using pretrained MRC models. Read more.