A Survey on Open Information Extraction

Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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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.
Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Computational Linguistics
Publication statusPublished - 2018
Event27th International Conference on Computational Linguistics - Santa Fe, United States
Duration: 20 Aug 201826 Aug 2018

Conference

Conference27th International Conference on Computational Linguistics
Abbreviated titleCOLING 2018
Country/TerritoryUnited States
CitySanta Fe
Period20/08/1826/08/18

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