no code implementations • EMNLP (sdp) 2020 • Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi
Automatically generating question answer (QA) pairs from the rapidly growing coronavirus-related literature is of great value to the medical community.
no code implementations • ACL (InterNLP) 2021 • Borna Jafarpour, Dawn Sepehr, Nick Pogrebnyakov
This paper investigates and reveals the relationship between two closely related machine learning disciplines, namely Active Learning (AL) and Curriculum Learning (CL), from the lens of several novel curricula.
no code implementations • 24 Mar 2022 • Sean Matthews, John Hudzina, Dawn Sepehr
In this article, we propose an approach for identifying gender and racial stereotypes in word embeddings trained on judicial opinions from U. S. case law.