Abstract:The key technical problems that online social networks focus on today are detecting policy violating content (e.g., hate speech, misinformation) and ranking content to satisfy their users’
The key technical problems that online social networks focus on today are detecting policy violating content (e.g., hate speech, misinformation) and ranking content to satisfy their users’ needs. By nature, these problems are somewhat vague and need to handle multi-modal content in many languages, and therefore do not naturally lend themselves to AI techniques based on declarative representations and reasoning. However, the machine learning techniques that are employed also have some drawbacks, such as the fact that it is hard to update their knowledge efficiently or to explain their results. In this talk I will outline a few opportunities where methods from symbolic AI, combined appropriately into the machine learning paradigm, can ultimately have an impact on our goals. In particular, I will describe Neural Databases, a new kind of database system that leverages the strength of NLP transformers to answer database queries over text, thereby freeing us from designing and relying on a database schema.
What You’ll Learn:
New developments on NLP meets data management
Alon Halevy has been a director at Facebook AI since 2019, where he works on Human Value Alignment and on the combination of neural and symbolic techniques for data management. Prior to Facebook, Alon was the CEO of Megagon Labs (2015-2018) and led the Structured Data Research Group at Google Research (2005-2015), where the team developed WebTables and Google Fusion Tables. From 1998 to 2005 he was a professor at the University of Washington, where he founded the database group. Alon is a founder of two startups, Nimble Technology and Transformic Inc. (acquired by Google in 2005). He received his Ph.D in Computer Science from Stanford in 1993. Alon co-authored two books: The Infinite Emotions of Coffee and Principles of Data Integration. He is a Fellow of the ACM and a recipient of the PECASE award and Sloan Fellowship. Together with his co-authors, he received VLDB 10-year best paper awards for the 2008 paper on WebTables and for the 1996 paper on the Information Manifold data integration system. In 2021, he received the Edgar F. Codd SIGMOD Innovations Award.
(Wednesday) 4:05 PM - 4:50 PM