Events, Relationships, and Script Learning

Abstract

Contents include: Events, Relationships, and Script Learning Summary; Unstructured Text Sentence Level Event Extraction Process; Unstructured Text: Trigger Identification; Unstructured Text: Trigger Classification; Redirected Effort: Support for DTRA BMIP and Cornerstone; Document Level Macro-Event Extraction Process; Document Level Macro-Event Extraction Algorithms; Future Work: Relating Events to Scripts.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1088231

Entities

People

  • Edwin J. Morris

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence Software
  • Classification
  • Computer Languages
  • Contracts
  • Department Of Defense
  • Engineering
  • Extraction
  • Guarantees
  • Identification
  • Learning
  • Materials
  • Natural Language Processing
  • Neural Networks
  • Probability
  • Probability Distributions
  • Recognition
  • Sequences
  • Software Development
  • Supervised Machine Learning
  • Universities

Readers

  • Business Analytics
  • Speech Processing/Speech Recognition.
  • Strategic Security Studies