Please join us for the NLP Seminar on Monday, January 22, at 4:00pm in 202 South Hall. All are welcome!
Speaker: Jacob Andreas (Berkeley)
The named concepts and compositional operators present in natural language provide a rich source of information about the kinds of abstractions humans use to navigate the world. Can this information help us build better machine learning models? We’ll explore three different ways of using language to support learning: to provide structure to question answering models, fast training and improved generalization for reinforcement learners, and interpretability to general-purpose deep models.
( Slides )