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Oren Etzioni

The Center investigates problems in data mining, natural language processing, the Semantic Web and other web search topics.[7]

Etzioni was the first student to major in computer science at Harvard University, where he earned a bachelor's degree in 1986.

Etzioni's research is focused on basic problems in the study of intelligence, machine reading, machine learning and web search.[6]

Past projects include Internet Softbots---the study of intelligent agents in the context of real-world software testbeds.

Etzioni is an entrepreneur who has founded or co-founded several business ventures, including MetaCrawler (bought by Infospace), Netbot (bought by Excite), and ClearForest (bought by Reuters).

He co-founded Decide, a company whose website Decide.com helped consumers make buying decisions using previous price history and recommendations from other users.

videos

In this talk I will introduce a new model for encoding knowledge graphs and generating texts from them.

Through detailed automatic and human evaluations I demonstrate the value of conditioning text generation on graph-structured knowledge, as well as the superior performance of the proposed model compared to recent work.

I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)

I have been using and teaching Python for many years. I wrote a best-selling book about learning data science. And here's my confession: I don't like notebooks.

Gary Marcus - Artificial General Intelligence: Why Aren't We There Yet?

Distinguished Lecture: Gary Marcus Artificial General Intelligence: Why Aren't We There Yet? Artificial General Intelligence: Why Aren't We There Yet? All ...

Imagine This! Scripts to Compositions to Videos

Imagine This! Scripts to Compositions to Videos Imagining a scene described in natural language with realistic layout and ..

Why AI2?

Learn about what makes AI2 unique in the world of artificial intelligence research.

Allen Institute neuroscientist Christof Koch on our future with AI

Watch a GeekWire Summit "Power Talk" in which Christof Koch, chief scientific officer at the Allen Institute for Brain Science, discusses the future of artificial ...

Chen Liang: Neural Symbolic Machines

Chen Liang Title: "Neural Symbolic Machines: Efficient Reinforcement Learning for Semantic Parsing and Program Synthesis" Abstract: Learning to generate ...

Paul Allen Discusses AI2 and the Future of AI

Paul Allen discusses his vision for the future of AI and AI2 in this fireside chat moderated by Gary Marcus of New York University at the 10th Anniversary ...

Project Alexandria: Pursuing Common Sense for AI

AI2's Project Alexandria will aggregate data from three sources: images and text (via machine learning) and crowd-sourced common sense statements.

Sebastian Ruder: Neural Semi-supervised Learning under Domain Shift

Sebastian Ruder Neural Semi-supervised Learning under Domain Shift Abstract: Deep neural networks excel at learning from labeled data. In contrast, learning ...