Recursive Deep Learning for Modelling Compositional and Grounded Meaning - Richard Socher, Metamind

Recursive Deep Learning for Modeling Compositional and Grounded Meaning In this talk, I will describe deep learning algorithms that learn representations for language that are useful for solving a variety of complex language tasks. I will focus on 3 projects: 1) Contextual sentiment analysis (e.g. having an algorithm that actually learns what’s positive in this sentence: “The Android phone is better than the iPhone“); 2) Question answering to win trivia competitions (like IBM Watson’s Jeopardy system but w
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