Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Neural Question Answering over Knowledge Graphs
Questions in real-world scenarios are mostly factoid, such as “any universities in Seattle?”. In order to answer factoid questions, a system needs to extract world knowledge and reason over facts. Knowledge graphs (KGs), e.g., Freebase,…
Publication
Separation of Concerns in Reinforcement Learning
Project
Neural Network Languages
The goals of this project are to develop a neural network language that is easy to use and understand, can be compiled to very efficient code, allows derivatives of any order, and makes it easy…
Project
LETOR: Learning to Rank for Information Retrieval
LETOR is a package of benchmark data sets for research on LEarning TO Rank, which contains standard features, relevance judgments, data partitioning, evaluation tools, and several baselines. Version 1.0 was released in April 2007. Version…
Publication