POSITION PAPERS        

Information Extraction/Data Mining

Dr. Ralph Weischedel, BBN Technologies
An Overview of Information Extraction  [HTML]  [PDF]

Dr. Sarah Taylor, Lockheed Martin Corporation
Information Extraction  [HTML]  [PDF]

Prof. Andrew McCallum, University of Massachusetts

Information Retrieval

Dr. Ellen Voorhees, National Institute of Science and Technology
TREC: Defining Benchmark Tasks to Advance the State of the Art  [HTML]  [PDF]

Prof. James Allan, University of Massachusetts - Amherst
State-of-the-art and Challenges in Information Retrieval  [HTML]  [PDF]

Semantic Web

Prof. Timothy Finin, University of Maryland, Baltimore County

Prof. Katia Sycara, Carnegie Mellon University

Dr. Patrick Hayes, Institute for Human and Machine Cognition

Machine Learning

Dr. Thomas Potok, Oak Ridge National Laboratory
A Distributed Approach for Clustering of Streaming Text Data  [HTML]  [PDF]

Prof. Tim Oates, University of Maryland, Baltimore County

Knowledge Representation

Prof. Deborah McGuinness, Stanford University

Prof. Peter Chen, Louisiana State University

Prof. Richard Fikes, Stanford University

Natural Language Processing

Dr. Lynette Hirschman, MITRE Corp.
Portability and Domain Models: Biology as a Case Study for Information Extraction  [HTML]  [PDF]

Prof. Judith Klavans, University of Maryland
Information Distillation : Effective Presentation of Highly Complex Multilingual Information to Analysts  [HTML]  [PDF]

Prof. Sergei Nirenburg, University of Maryland, Baltimore County

The Future of Text Analysis

Prof. Rohini Srihari, State University of New York–Buffalo
Information Extraction: State-of-the-Art and Future Directions  [HTML]  [PDF]

Prof. Elizabeth Liddy, Syracuse University
The Future of Natural Language Processing  [HTML]  [PDF]

Mr. Robert Burleson, Lawrence Livermore National Laboratory

Last update: June 10, 2005