Andrew McCallum
homepage:http://www.cs.umass.edu/%7Emccallum/
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Description

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.


Lectures:

keynote
flag Representation and Reasoning with Universal Schema Embeddings
as author at  14th International Semantic Web Conference (ISWC), Bethlehem 2015,
3259 views
  invited talk
flag Knowledge Base Construction with Epistemological Databases
as author at  Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX), Montreal 2012,
3702 views
invited talk
flag MCMC Inference Inside the DB for Extraction, Resolution, Alignment, Provenance and Queries
as author at  1st Workshop on Automated Knowledge Based Construction (AKBC), Grenoble 2010,
4271 views
  opening
flag Welcome Speech at the First Workshop on Automated Knowledge Based Construction 2010
as author at  1st Workshop on Automated Knowledge Based Construction (AKBC), Grenoble 2010,
3204 views
lecture
flag Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
as author at  24th Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki 2008,
5988 views
  invited talk
flag STAIR: The STanford Artificial Intelligence Robot project
as introducer at  Invited talks,
together with: Andrew Ng,
14625 views
introduction
flag Best Papers Awards ICML 2008
as author at  Award Paper Joint Session,
6639 views