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Critique of Pure Reason
PREFACE TO THE FIRST EDITION 1781 Human reason, in one sphere of its cognition, is called upon to consider questions, which it cannot decline, as they are presented by its own nature, but which it cannot answer, as they transcend every faculty of the mind. It falls into this difficulty without any fault of its own. It begins with principles,
UArizona Environmental Policy and Data Science Team Invited to White House Tech Summit
UArizona’s NEPAccess team were the only academics invited to the first-ever White House Environmental Permitting Technology and Data Summit.
Addressing structural hurdles for metadata extraction from environmental impact statements
Natural language processing techniques can be used to analyze the linguistic content of a document to extract missing pieces of metadata. However, accurate metadata extraction may not depend solely on the linguistics, but also on structural problems such as extremely large documents, unordered multi-file documents, and inconsistency in manually labeled metadata. In this work, we start from two standard machine learning solutions to extract pieces of metadata from Environmental Impact Statements, environmental policy documents that are regularly produced under the US National Environmental Policy Act of 1969.
Yet another blog post
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Hello world!
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The Critique of Pure Reason
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