QCS: a tool for querying, clustering, and summarizing documents

Authors:
Daniel M. Dunlavy;John Conroy;Dianne P. O'Leary
Affiliations:
University of Maryland;IDA/CCS;University of Maryland
Venue:
NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations - Volume 4
Year:
2003

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Abstract

The QCS information retrieval (IR) system is presented as a tool for querying, clustering, and summarizing document sets. QCS has been developed as a modular development framework, and thus facilitates the inclusion of new technologies targeting these three IR tasks. Details of the system architecture, the QCS interface, and preliminary results are presented.