Identification of Technology Terms in Patents (Open Access, Published Version)

Abstract

Natural language analysis of patents holds promise for the development of tools designed to assist analysts in the monitoring of emerging technologies. One component of such tools is the identification of technology terms. We describe an approach to the discovery of technology terms using supervised machine learning and evaluate its performance on subsets of patents in three languages: English, German, and Chinese.

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Document Details

Document Type
Technical Report
Publication Date
May 31, 2014
Accession Number
AD1042305

Entities

People

  • James Pustejovsky
  • Marc Verhagen
  • Peter Anick

Organizations

  • Brandeis University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Data Mining
  • Detection
  • Emerging Technology
  • Identification
  • Language
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Network Science
  • Ontologies
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation