Twenty-five years of information extraction

Ralph Grishman

doi:10.1017/S1351324919000512

Twenty-five years of information extraction

Ralph Grishman

Computer Science

Research output: Contribution to journal › Review article › peer-review

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 language	English (US)
Pages (from-to)	677-692
Number of pages	16
Journal	Natural Language Engineering
Volume	25
Issue number	6
DOIs	https://doi.org/10.1017/S1351324919000512
State	Published - Nov 1 2019

Keywords

Information extraction
Message understanding

ASJC Scopus subject areas

Software
Language and Linguistics
Linguistics and Language
Artificial Intelligence

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10.1017/S1351324919000512

Cite this

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Twenty-five years of information extraction

Abstract

Keywords

ASJC Scopus subject areas

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