APA
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Niklaus, C., Cetto, M., Freitas, A., & Handschuh, S. (2018). A Survey on Open Information Extraction. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3866–3878). Santa Fe, New Mexico, USA: Association for Computational Linguistics.
Chicago/Turabian
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Niklaus, Christina, Matthias Cetto, André Freitas, and Siegfried Handschuh. “A Survey on Open Information Extraction.” In Proceedings of the 27th International Conference on Computational Linguistics, 3866–3878. Santa Fe, New Mexico, USA: Association for Computational Linguistics, 2018.
MLA
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Niklaus, Christina, et al. “A Survey on Open Information Extraction.” Proceedings of the 27th International Conference on Computational Linguistics, Association for Computational Linguistics, 2018, pp. 3866–78.
BibTeX Click to copy
@inproceedings{niklaus2018a,
title = {A Survey on Open Information Extraction},
year = {2018},
month = aug,
address = {Santa Fe, New Mexico, USA},
pages = {3866--3878},
publisher = {Association for Computational Linguistics},
author = {Niklaus, Christina and Cetto, Matthias and Freitas, André and Handschuh, Siegfried},
booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
month_numeric = {8}
}
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.
