A Survey on Open Information Extraction
Journal
Proceedings of the 27th International Conference on Computational Linguistics
Type
conference paper
Date Issued
2018-08
Author(s)
Abstract (De)
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.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Association for Computational Linguistics
Publisher place
Santa Fe, New Mexico, USA
Start page
3866
End page
3878
Official URL
Subject(s)
Division(s)
Eprints ID
258035
File(s)![Thumbnail Image]()
Name
C18-1326.pdf
Size
392.41 KB
Format
Adobe PDF
Checksum (MD5)
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