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A Survey on Open Information Extraction

Authors :
Niklaus, Christina
Cetto, Matthias
Freitas, André
Handschuh, Siegfried
Publication Year :
2018

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.<br />Comment: 27th International Conference on Computational Linguistics (COLING 2018)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1806.05599
Document Type :
Working Paper