Semantic scholar: Re-defining literature search

Dec. 2, 2015 from 3:30 to 4:20 p.m. — Physics/Astronomy Auditorium, room A102

Chief Executive Officer of the Allen Institute for Artificial Intelligence, Professor at the University of Washington’s Computer Science Department

Watch a recording of this seminar here.


Literature took a giant step forward with systems like CiteSeer and Google Scholar, but the explosive growth of scientific publications has resulted in information overload. Searching for the phrase “deep learning” in Google Scholar yields more than 50,000 results, and the top result has more than 3,000 citations. As a result, scientists and researchers are overwhelmed. Semantic Scholar is a new, free academic search engine that aims to address information overload by utilizing machine learning, natural language processing, and machine vision to cut through the clutter and enable researchers to home in on key papers, results, and citations more efficiently. My talk will describe our approach, demonstrate Semantic Scholar, and solicit the audience’s feedback on how to improve it.


Dr. Oren Etzioni is CEO of the Allen Institute for Artificial Intelligence,a Professor at the University of Washington’s Computer Science department, and a Venture Partner at Madrona Venture Group. He was the founder or co-founder of several companies including Farecast (sold to Microsoft) and Decide (sold to eBay), and the author of over 100 technical papers that have garnered over 24,000 citations. The goal of Oren’s research is to solve fundamental problems in AI, particularly the automatic learning of knowledge from text.