Twenty-five years of information extraction

Research output: Contribution to journalArticle

Abstract

Information extraction is the process of converting unstructured text into a structured data base containing selected information from the text. It is an essential step in making the information content of the text usable for further processing. In this paper, we describe how information extraction has changed over the past 25 years, moving from hand-coded rules to neural networks, with a few stops on the way. We connect these changes to research advances in NLP and to the evaluations organized by the US Government.

Original languageEnglish (US)
JournalNatural Language Engineering
DOIs
StateAccepted/In press - Jan 1 2019

Fingerprint

information content
Neural networks
neural network
Processing
evaluation
Information Extraction
Evaluation
Neural Networks
Government
Natural Language Processing
Data Base

Keywords

  • Information extraction
  • Message understanding

ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

Cite this

Twenty-five years of information extraction. / Grishman, Ralph.

In: Natural Language Engineering, 01.01.2019.

Research output: Contribution to journalArticle

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