Systems Engineering Methods Business and Analytics

Abstract

The goal of this project is to develop and compare natural language processing (NLP) based tools that will extract keyphrases from scientific literature of interest to CCDC. Keyphrase extraction is an important first step in several downstream NLP tasks including summarization, opinion mining, trend analysis etc.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 2019
Accession Number
AD1100924

Entities

People

  • K. P. Subbalakshmi
  • William Rouse

Organizations

  • Systems Engineering Research Center

Tags

Communities of Interest

  • Counter IED

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Burning Rate
  • Chemical Reactions
  • Combustion
  • Computational Linguistics
  • Data Sets
  • Energetic Materials
  • Engineering
  • Explosives
  • Frequency
  • Language
  • Linguistics
  • Materials
  • Materials Testing
  • Models
  • Nanoparticles
  • Natural Language Processing
  • Natural Languages
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Propellants
  • Random Variables
  • Scientific Literature
  • Standards
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation