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

Ralph Weischedel, Elizabeth Boschee


Abstract
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 and D investments are justified.
Anthology ID:
J18-4004
Volume:
Computational Linguistics, Volume 44, Issue 4 - December 2018
Month:
December
Year:
2018
Address:
Cambridge, MA
Venue:
CL
SIG:
Publisher:
MIT Press
Note:
Pages:
651–658
Language:
URL:
https://aclanthology.org/J18-4004
DOI:
10.1162/coli_a_00331
Bibkey:
Cite (ACL):
Ralph Weischedel and Elizabeth Boschee. 2018. Last Words: What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View. Computational Linguistics, 44(4):651–658.
Cite (Informal):
Last Words: What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View (Weischedel & Boschee, CL 2018)
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PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/J18-4004.pdf