Jargon-Term Extraction by Chunking

Abstract

NLP definitions of Terminology are usually application-dependent. IR terms are noun sequences that characterize topics. Terms can also be arguments for relations like abbreviation, definition or IS-A. In contrast, this paper explores techniques for extracting terms fitting a broader definition: noun sequences specific to topics and not well-known to naive adults. We describe a chunking-based approach, an evaluation, and applications to non-topic-specific relation extraction.

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Document Details

Document Type
Technical Report
Publication Date
Aug 24, 2014
Accession Number
AD1100064

Entities

People

  • Adam Meyers
  • Angus Grieve-smith
  • Ralph David Grishman
  • Shasha Liao
  • Yifan He
  • Zachary Glass

Organizations

  • New York University

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  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Algorithms
  • Computational Linguistics
  • Computer Science
  • Dictionaries
  • Genetic Algorithms
  • Language
  • Law
  • Linguistics
  • Natural Language Processing
  • New York
  • Patents
  • Precision
  • Universities
  • Vocabulary
  • Word Lists

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  • Computational Linguistics