Text Analysis logo - links to TA workshop home page Department of Homeland Security
Advanced Scientific Computing Program
Text Analysis Workshop
May 25-26, 2005
Hilton Alexandria Old Town
Alexandria, VA

DHS ASC Home page
Text Analysis Workshop home page




Contact information

AGENDA      

Floor plans [PDF]

Wednesday, May 25
7:30–8:30am Continental Breakfast - Salon C Foyer
8:00–8:30am Registration - Salon C Foyer
8:30–9:00am Opening Remarks - Salon C

Dr. Thomas Potok, Oak Ridge National Laboratory

Dr. Joseph Kielman, Department of Homeland Security
Overview of Department of Homeland Security Intelligence and the Intelligence and Information Fusion (I2F) Program
9:00–10:00am Nature of the problem (speakers from DHS and IC)
10:00–10:30am Break - Salon C Foyer
10:30–Noon Information Extraction/Data Mining - Salon C
Session chair: Dr. Sarah Taylor, Lockheed Martin Corp.

Dr. Ralph Weischedel, BBN Technologies
An Overview of Information Extraction  [position paper]

Dr. Sarah Taylor, Lockheed Martin Corporation
Information Extraction  [position paper]

Prof. Andrew McCallum, University of Massachusetts
Information Extraction: Future Research Directions & Integration with Data Mining
Noon–1:00pm Lunch - Salon B
1:00–2:30pm Information Retrieval - Salon C
Session chair: Dr. Ellen Voorhees, National Institute of Science and Technology

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

Prof. James Allan, University of Massachusetts
State-of-the-art and Challenges in Information Retrieval  [position paper]

Dr. Jim Mayfield, Johns Hopkins Applied Physics Laboratory
DHS Research Challenges in Cross-Language Information Retrieval  [position paper]
2:30–3:00pm Break - Salon C Foyer
3:00–4:30pm Semantic Web - Salon C
Session chair: Prof. Timothy Finin, University of Maryland, Baltimore County

Prof. Timothy Finin, University of Maryland, Baltimore County
Knowledge Sharing on the Semantic Web

Prof. Katia Sycara, Carnegie Mellon University

Dr. Patrick Hayes, Institute for Human and Machine Cognition
4:30–5:00pm Break - Salon C Foyer
5:00–6:00pm Poster/Demos - Madison Room (second level)
Reception/Cash Bar

  Pacific Northwest National Laboratory
  Los Alamos National Laboratory
  Sandia National Laboratories
Thursday, May 26
7:30–8:30am Continental Breakfast - Salon C Foyer
8:00–8:30am Welcome - Salon C
8:30–9:00am Opening Remarks

Dr. Steven Ashby, Lawrence Livermore National Laboratory
Advanced Scientific Computing for Homeland Security - Introducing the Institute for Discrete Sciences
9:00–10:00am Machine Learning
Session chair: Dr. Kevin Boyack, Sandia National Laboratories

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

Prof. Tim Oates, University of Maryland, Baltimore County
Machine Learning Meets Text Analysis - Again
10:00–10:30am Break - Salon C Foyer
10:30–Noon Knowledge Representation - Salon C
Session chair: Dr. Terence Critchlow, Lawrence Livermore National Laboratory

Prof. Deborah McGuinness, Stanford University
Explanation: Enabling Next Generation Text Analysis
and Question Answering

Prof. Peter Chen, Louisiana State University
Is There a Common Thread to Unify Knowledge Representation
& Unify IT Research?

Prof. Richard Fikes, Stanford University
Key Roles for Knowledge Representation in Text Analysis
Noon–1:00pm Lunch - Salon B
1:00–2:30pm Natural Language Processing - Salon C
Session chair: Dr. Karin Verspoor, Los Alamos National Laboratory

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

Prof. Judith Klavans, University of Maryland
Distillation   [position paper]

Prof. Sergei Nirenburg, University of Maryland, Baltimore County
Toward Text Meaning
2:30–3:00pm Break - Salon C Foyer
3:00–4:30pm Panel Discussion – The Future of Text Analysis - Salon C
Session chair: Dr. Thomas Potok, Oak Ridge National Laboratory

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

Prof. Elizabeth Liddy, Syracuse University
The Future of Natural Language Processing
[position paper]

Mr. Robert Burleson, Lawrence Livermore National Laboratory
4:30pm Concluding Remarks

Last update: June 1, 2005

 


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