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.
CITATION STYLE
Weischedel, R., & Boschee, E. (2018). What can be accomplished with the state of the art in information extraction? A personal view. Computational Linguistics, 44(4), 651–658. https://doi.org/10.1162/coli_a_00331
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