Wednesday, August 19, 2015
11:45 AM - 12:30 PM
|Level: ||Technical - Intermediate|
In this talk, I will describe deep learning algorithms that learn representations for language that are useful for solving a variety of complex language problems.
I will focus on 3 tasks:
- Fine-Grained sentiment analysis
- Question answering to win trivia competitions (like Whatson's Jeopardy system but with one neural network)
- Multimodal sentence-image embeddings (with a fun demo!) to find images that visualize sentences
I will also show some demos of how deepNLP can be made easy to use with MetaMind.io's software.
Richard Socher is the CTO and founder of MetaMind, a startup that seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision.
He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 "Magic Grant" from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.