@article{bd1c9e5d28f74a4bbd8e681614a1535b,
title = "Twenty-five years of information extraction",
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 extraction, Message understanding",
author = "Ralph Grishman",
note = "Funding Information: Acknowledgements. This work was supported in part by DARPA/I2O and US Army Research Office Contract No. W911NF-18-C-0003 under the World Modelers program. The views, opinions, and/or findings contained in this article are those of the author and should not be interpreted as representing the official views or policies, either expressed or implied, of the Department of Defense or the US Government. This document does not contain technology or technical data controlled under either the US International Traffic in Arms Regulations or the US Export Administration Regulations. The author wishes to thank the reviewers for their suggestions regarding topics to include in the paper. Publisher Copyright: {\textcopyright} {\textcopyright} Cambridge University Press 2019.",
year = "2019",
month = nov,
day = "1",
doi = "10.1017/S1351324919000512",
language = "English (US)",
volume = "25",
pages = "677--692",
journal = "Natural Language Engineering",
issn = "1351-3249",
publisher = "Cambridge University Press",
number = "6",
}