A Survey on Open Information Extraction
This is a review paper that synthesizes knowledge for researchers in natural language processing, but it is incremental as it does not introduce novel methods or data.
The paper surveys existing approaches for Open Information Extraction, outlining major challenges, evolution of methods, and evaluation critiques, without presenting new experimental results.
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.