The Cornell Tipster Phase 3 Project

Abstract

The overall objective of the Cornell University TIPSTER Project was to improve end-user efficiency in information retrieval systems by reducing the amount of text that the user must process [I]. The project focuses on high precision IR, near-duplicate detection and context-dependent summarization. The two main foundations of the research are the latest version of the Smart system for information Retrieval and the Empire system for natural language processing. Smart is an implementation of the vector-space model of information retrieval (IR). Its earlier purpose was to provide a framework to conduct IR research but current developments will make the system easier to use by nonresearcher. Empire is a research-oriented system that uses machine learning methods to quickly perform partial parsing of sentences.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADA631409

Entities

People

  • F. R. Gee

Organizations

  • Central Intelligence Agency

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Automated Text Summarization
  • Demonstrations
  • Detection
  • Electronic Mail
  • Information Operations
  • Information Retrieval
  • Integrated Systems
  • Intelligence Community
  • Language
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Precision
  • Vector Spaces

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Space