Distributing the Edit History of Wikipedia Infoboxes

Posted by Enrique Alfonseca, Google Research Aside from its value as a general-purpose encyclopedia, Wikipedia is also one of the most widely used resources to acquire, either automatically or semi-automatically, knowledge bases of structured data. Much research has been devoted to automatically building disambiguation resources, parallel corpora and structured knowledge from Wikipedia. Still, most of those projects have been based on single snapshots...

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Open Access for Publications

Posted by Alfred Spector, Vice President, EngineeringThe Association for Computing Machinery (ACM) recently announced a new option for publication rights management, wherein researchers can choose to pay for the public to have perpetual open access to the publication. Google applauds this new option, and today we are announcing that we will pay the open access fees for all articles by Google researchers that are published in ACM journals. IEEE also has an open access option for some of its publications, and we also pay the open access fee for them...

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Explore more with Mapping with Google

Posted by Tina Ornduff, Program Manager In September 2012 we launched Course Builder, an open source learning platform for educators or anyone with something to teach, to create online courses. This was our experimental first step in the world of online education, and since then the features of Course Builder have continued to evolve. Mapping with Google, our latest MOOC, showcases new features of the platform.From your own backyard all the way to Mount Everest, Google Maps and Google Earth are here to help you explore the world. You can learn...

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Syntactic Ngrams over Time

Posted by Yoav Goldberg, Professor at Bar Ilan University & Post-doc at Google 2011-2013We are proud to announce the release of a very large dataset of counted dependency tree fragments from the English Books Corpus. This resource will help researchers, among other things, to model the meaning of English words over time and create better natural-language analysis tools. The resource is based on information derived from a syntactic analysis of...

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Launching the Quantum Artificial Intelligence Lab

Posted by Hartmut Neven, Director of EngineeringWe believe quantum computing may help solve some of the most challenging computer science problems, particularly in machine learning. Machine learning is all about building better models of the world to make more accurate predictions. If we want to cure diseases, we need better models of how they develop. If we want to create effective environmental policies, we need better models of what’s happening to our climate. And if we want to build a more useful search engine, we need to better understand...

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