What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View

Though information extraction (IE) research has more than a 25-year history, F scores remain low. Thus, one could question continued investment in IE research. In this article, we present three applications where information extraction of entities, relations, and/or events has been used, and note th...

Full description

Saved in:
Bibliographic Details
Published inComputational linguistics - Association for Computational Linguistics Vol. 44; no. 4; pp. 651 - 658
Main Authors Weischedel, Ralph, Boschee, Elizabeth
Format Journal Article
LanguageEnglish
Published One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.12.2018
MIT Press Journals, The
The MIT Press
Subjects
Information retrieval
R&D
Research & development
Online AccessGet full text

Cover

More Information
Summary:Though information extraction (IE) research has more than a 25-year history, F scores remain low. Thus, one could question continued investment in IE research. In this article, we present three applications where information extraction of entities, relations, and/or events has been used, and note the common features that seem to have led to success. We also identify key research challenges whose solution seems essential for broader successes. Because a few practical deployments already exist and because breakthroughs on particular challenges would greatly broaden the technology’s deployment, further R&D investments are justified.
Bibliography:December, 2018
ISSN:0891-2017
1530-9312
DOI:10.1162/coli_a_00331