Information Extraction and Synthesis Laboratory


Information -- A collection of facts, relations or events from which conclusions may be drawn. Knowledge that has been gathered or received.

Extraction -- Obtaining materials in concentrated, usable form from a dilluted, unusable source.

Synthesis -- The combining of separate elements or substances to form a coherent whole. Reasoning from the general to the particular; logical deduction.

Laboratory -- An organization performing scientific experimentation or research.

Andrew McCallum, Director.


IESL aims to dramatically increase our ability to mine actionable knowledge from unstructured text. We are 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 and community. We develop and employ various methods in statistical machine learning, natural language processing and information retrieval. We tend toward probabilistic approaches, graphical models, and Bayesian methods.

  • Overview?
  • People -- Faculty, staff, students, collaborators.
  • Projects -- Current areas of research focus.
  • Publications-- Technical papers about our work.
  • Software? -- Implementations of our algorithms and ideas, all open source.
  • Data? -- Datasets for training and evaluation.

IESL is part of the Center for Intelligent Information Retrieval

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