Richard Socher

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Co-founder and CEO of You.com

Co-founder of AIX Ventures

Co-founder and CTO of MetaMind Inc.

Investor of Visit Health Private Limited

Personal website - socher.org

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Dr. Richard Socher: Recursive Deep Learning for Modeling Semantic Compositionality

Published on Oct 27, 2014

Recursive Deep Learning for Modeling Semantic Compositionality

Richard Socher
Stanford

Jan 17, 2014

Great progress has been made in natural language processing thanks to many different algorithms, each often specific to one application. Most algorithms force language into simplified representations such as bag-of-words or fixed-sized windows or require human-designed features. I will introduce two general models based on recursive neural networks that can learn linguistically plausible representations of language. These methods jointly learn compositional features and grammatical sentence structure for parsing or phrase level sentiment predictions. Besides the state-of-the-art performance, the models capture interesting phenomena in language such as compositionality. For instance, people easily see that the "with" phrase in "eating spaghetti with a spoon" specifies a way of eating whereas in "eating spaghetti with some pesto" it specifies the dish. I show that my model solves these prepositional attachment problems well thanks to its distributed representations. In sentiment analysis, a new tensor-based recursive model learns different types of high level negation and how they can change the meaning of longer phrases with many positive words. They also learn that when contrastive conjunctions such as "but" are used the sentiment of the phrases following them usually dominates.
Bio: Richard Socher is a PhD student at Stanford working with Chris Manning and Andrew Ng. His research interests are machine learning for NLP and vision. He is interested in developing new deep learning models that learn useful features, capture compositional structure in multiple modalities and perform well across different tasks. He was awarded the 2011 Yahoo! Key Scientific Challenges Award, the Distinguished Application Paper Award at ICML 2011, a Microsoft Research PhD Fellowship in 2012 and a 2013 "Magic Grant" from the Brown Institute for Media Innovation.

 

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Article "Salesforce chief scientist Richard Socher leaves to start his own company"

by Khari Johnson
July 13, 2020

 

[Administrator]

Richard Socher | You.com | How AI is Changing the World | TransformX 2022

Oct 24, 2022

Richard Socher has been a transformative force in AI, from his academic publications to his work at MetaMind, Salesforce, and his current stint at you.com, a new search engine that combines privacy, freedom from ads, and ‘trust, kindness, facts, and AI.’ During this fireside chat with Russell Kaplan, Scale’s Director of Engineering, Socher will discuss how recent developments in AI are shaping our world and how to develop the next generation of AI talent.

Socher will talk about the latest developments in AI, including AI-powered code completion tools, large language models, and AI applications for healthcare. He also will address how to build large-scale ML teams and what it means to invest in the future of AI. In addition to his ongoing work as CEO of you.com, Socher is a key member of AIX Ventures, which helps AI-powered companies raise money from AI practitioners. While at Salesforce, Socher led teams working on fundamental research, applied research, product incubation, CRM search, customer service automation, and a cross-product AI platform for unstructured and structured data.