A Survey on Open Information Extraction

Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh


Abstract
We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such systems face, show the evolution of the suggested approaches over time and depict the specific issues they address. In addition, we provide a critique of the commonly applied evaluation procedures for assessing the performance of Open IE systems and highlight some directions for future work.
Anthology ID:
C18-1326
Volume:
Proceedings of the 27th International Conference on Computational Linguistics
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3866–3878
Language:
URL:
https://www.aclweb.org/anthology/C18-1326
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C18-1326.pdf