Research

Coburn & Cuadrado conducts research into a diverse set of topics related to data-mining, search, document clustering, natural language processing and information visualization. Several of our white papers describing both past and current research are listed below.

The research domains have ranged from legal documents to literary texts and from biomedical data to newswire sources. Our current research is focused on social network analysis, semi-supervised learning and computational graph theory.

White Papers

An Automated Management Tool for Unstructured Data
Published in the proceedings of the IEEE/WIC International Conference on Web Intelligence. pp 554-557. October 13-17, 2003.

Attributing Authorship using a Contextual Network Graphs
Paper presented at the Joint International Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ALLC/ACH). Computing and Multilingual, Multicultural Heritage. June 11-16, 2004.

Semantic Search of Unstructured Data using Contextual Network Graphs
Whitepaper published for the National Institute for Technology and Liberal Education. May 16, 2003.

Text Modeling and Visualization with Network Graphs
Paper presented at the Joint International Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ALLC/ACH). Humanities Computing and Digital Scholarship. June 15-18, 2005.

Tools for Thinking, Thinking Tools: The Semantic Engine and Literary Analysis Toolkit
Paper presented at the Modern Languages Association Annual Convention. December 27-30, 2005.


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