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TIPSTER Text Program A multi-agency, multi-contractor program


TABLE OF CONTENTS


Introduction
TIPSTER Overview
TIPSTER Technology Overview
TIPSTER Related Research
Phase III Overview
TIPSTER Calendar
Reinvention Laboratory Project
What's New

Conceptual Papers
Generic Information Retrieval
Generic Text Extraction
Summarization Concepts
12 Month Workshop Notes

Conferences
Text Retrieval Conference
Multilingual Entity Task
Summarization Evaluation

More Information
Other Related Projects
Document Down Loading
Request for Change (RFC)
Glossary of Terms
TIPSTER Source Information

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Last updated:

Date created: Monday, 31-Jul-00

TIPSTER Related Research

The TIPSTER Text Program incorporated new research efforts and fostered improvements to current developments. Under Phase III, the program continued to advance the state-of-the-art for the underlying technologies of Document Detection and Information Extraction.

TIPSTER research efforts focused on the following areas:

  • Text summarization - an enhancement in information extraction and information retrieval to develop methods and algorithms to produce a summary for each document of interest or a single summary of multiple documents in a collection of interest.

  • Merging search results - develop the means to merge results from different search engines while maintaining a relevance ranking for the retrieved information or to fuse the retrieved information with other items.

  • Coreference resolutions - develop algorithms to resolve multiple text references to the same entity to better understand relationships among entities mentioned in a document.

  • Customization methods - develop effective ways for a system administrator or end-user to port tools and techniques shown to work in one language or domain to other languages or domains.

  • Multilingual capability enhancements.

  • Improvements in natural language processing capabilities.

  • Improvements in recall and precision for document detection (routing and retrieval) and information extraction algorithms.

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