Synthesis and Machine Learning for Heterogeneous
Extraction

Established: April 12, 2015

We work on various aspects of data-driven algorithms including fast machine learning algorithms that can learn from large scale and noisy data, learning from natural language and multilingual data, and applications of these algorithms to Web Search, Computational Advertisement, Recommendation…