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Twenty-five years of information extraction

Published online by Cambridge University Press:  20 September 2019

Ralph Grishman
Ralph Grishman*
Affiliation:
Computer Science Dept., New York University, 60 Fifth Avenue, Room 300, New York NY 10011, USA
*
*Corresponding author. Email: grishman@cs.nyu.edu
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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.

Keywords

Information extractionMessage understanding
Type
Article
Information
Natural Language Engineering , Volume 25 , Issue 6 , November 2019 , pp. 677 - 692
Copyright
© Cambridge University Press 2019 

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