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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/J18-4004.pdf