Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Natural language understanding in task-oriented conversational AI

Sonal Gupta (Facebook)
2:40pm3:20pm Wednesday, March 27, 2019
Average rating: ****.
(4.40, 5 ratings)

What you'll learn

  • Explore practical systems for building a conversational AI system for task-oriented queries

Description

Sonal Gupta explores practical systems for building a conversational AI system for task-oriented queries and details a way to do more advanced compositional understanding, which can understand cross-domain queries, using hierarchical representations. Along the way, Sonal discusses a few parsers, such as transition-based parsers and sequence-to-sequence models, that can be used for compositional understanding (implemented in PyTorch).

Photo of Sonal Gupta

Sonal Gupta

Facebook

Sonal Gupta is a research scientist at Facebook working on conversational AI systems. Previously, she developed deep learning natural language understanding models for conversational AI systems at Viv, a startup later acquired by Samsung. She holds a PhD on weakly supervised and interpretable information extraction from Stanford University and a master’s degree on combining language and vision modes for information extraction at the University of Texas at Austin.