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Andrew McCallum

The main goal of my research is to dramatically increase our ability to mine actionable knowledge from unstructured text. I am especially interested in information extraction from the Web, understanding the connections between people and between organizations, expert finding, social network analysis, and mining the scientific literature & community. Toward this end my group develops and employs various methods in statistical machine learning, natural language processing, information retrieval and data mining---tending toward probabilistic approaches and graphical models. For more information see our current projects and publications.
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01:14:08

Representation and Reasoning with Universal Schema Embeddings

Andrew McCallum

calendar icon Jan 11, 2016 3330 views

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Knowledge Base Construction with Epistemological Databases

Andrew McCallum

calendar icon Jul 13, 2012 3787 views

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Welcome Speech at the First Workshop on Automated Knowledge Based Construction 2...

Andrew McCallum

calendar icon Jun 7, 2010 3260 views

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01:19:10

MCMC Inference Inside the DB for Extraction, Resolution, Alignment, Provenance a...

Andrew McCallum

calendar icon Jun 7, 2010 4337 views

Private
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Inference and Learning in Large-scale, Relational Conditional Random Fields

Andrew McCallum

calendar icon Apr 9, 2010 609 views

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Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regres...

Andrew McCallum

calendar icon Jul 30, 2008 6052 views

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Best Papers Awards ICML 2008

Andrew McCallum

calendar icon Jul 24, 2008 6769 views

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