SPEAKER: Oren Etzioni - Professor of Computer Science at the University of Washington
We are very excited that the twelfth distinguished speaker in this series will be Oren Etzioni. Doors open at 6:30pm, talk begins at 7:00pm. Drinks and light food provided.
TITLE: Open Information Extraction
ABSTRACT: Information Extraction (IE) is the task of mapping unstructured text to semantic representations. IE is often formulated as a machine-learning problem where an extractor for a particular relation (e.g., seminar speaker) is learned from labeled training examples. My talk will provide an overview of Open IE---an approach to scaling IE to the Web where the set of potential relations is not known in advance, making a standard machine learning approach impossible. I will demonstrate two applications of IE: sentiment analysis at Decide.com and Seattle restaurant reviews at revminer.
Bio: Oren Etzioni is a Professor of Computer Science at the University of Washington. He is the author of over 100 technical papers on data mining, search, and information extraction, and the founder of three companies: Netbot, was the first online-comparison-shopping (acquired by Excite in 1997); His second company, Farecast, advised people when to buy their air tickets to avoid buyer’s remorse.
Farecast was acquired by Microsoft in 2008 and became the foundation for Bing Travel. Third, Decide.com, founded in 2010, utilizes both data- and text- mining to minimize regret for online shoppers.