English

A Survey on Open Information Extraction

Computation and Language 2018-06-15 v1

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.

Keywords

Cite

@article{arxiv.1806.05599,
  title  = {A Survey on Open Information Extraction},
  author = {Christina Niklaus and Matthias Cetto and André Freitas and Siegfried Handschuh},
  journal= {arXiv preprint arXiv:1806.05599},
  year   = {2018}
}

Comments

27th International Conference on Computational Linguistics (COLING 2018)

R2 v1 2026-06-23T02:30:17.240Z