Generic Event Recognition and Extraction (GERE)

Abstract

Generic extraction was the primary focus of this funded project. To successfully extract relationships about generic entities and events, the previously developed Named Entity-based extraction algorithm was modified and extended into a process to work on events and nominal entities within the Nuclear Smuggling data domain. A secondary focus was the identification and categorization of numeric and time expressions. An evaluation shows significant improvement alone precision and recall: measures. The framework and a preliminary algorithm for specialization of event frames and attributes was designed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA407305

Entities

People

  • Eileen E. Allen
  • Elizabeth D. Liddy

Organizations

  • Syracuse University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Extraction
  • Identification
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • New York
  • Pattern Recognition
  • Precision
  • Recognition
  • Smuggling
  • Specialization
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Systems Analysis and Design