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Computational Linguistics

Hwee Tou Ng, Editor
December 2018, Vol. 44, No. 4, Pages 651-658
(doi: 10.1162/coli_a_00331)
© 2018 Association for Computational Linguistics Published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license
What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View
Article PDF (129.34 KB)
Though information extraction (IE) research has more than a 25-year history, F1 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.