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What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View
Ist Teil von
Computational linguistics - Association for Computational Linguistics, 2018-12, Vol.44 (4), p.651-658
Ort / Verlag
One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
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.