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


TIPSTER Overview
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Phase III Overview
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Generic Information Retrieval
Generic Text Extraction
Summarization Concepts
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Summarization Evaluation

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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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