Training Conversational Agents on Noisy Data

On Demand

This session will address both sides of the challenge: (1) using data-efficient strategies during the utterance collection and annotation phases to optimize the trade-off between cost and quality when collecting training data, (2) using data-driven approaches to train and generate behaviors for a conversational agent despite noisy data and lack of training labels.

Featured Presenters

Phoebe Liu

Phoebe Liu is a senior data scientist with expertise in robotics and conversational AI. Previously, she was a robotics researcher in Japan, working in Hiroshi

Details »

Event Sponors

Scroll to Top

We've already checked you in.

IF YOU have your badge you're good to go!

Join us for

Check-in SUCCEEDED

Register to View Event