USC researchers presented 30 papers at the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, a tier-1 venue for researchers around the world to publish results and push the boundaries of natural language understanding and artificial intelligence.
USC papers covered a range of topics including commonsense, the field of AI that aims to help computers understand and interact with humans more naturally; continual learning, which enables models to learn and gain knowledge over time; and question answering using synthetic adversarial data generation to increase robustness.
USC Papers Presented:
Published on November 17th, 2021
Last updated on November 17th, 2021