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    <titleInfo>
        <title>A Survey on Open Information Extraction</title>
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        <namePart type="given">Christina</namePart>
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        <namePart type="given">Matthias</namePart>
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    <name type="personal">
        <namePart type="given">André</namePart>
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    <name type="personal">
        <namePart type="given">Siegfried</namePart>
        <namePart type="family">Handschuh</namePart>
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            <namePart type="given">Emily</namePart>
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            <namePart type="given">Leon</namePart>
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            <namePart type="given">Pierre</namePart>
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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.</abstract>
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%0 Conference Proceedings
%T A Survey on Open Information Extraction
%A Niklaus, Christina
%A Cetto, Matthias
%A Freitas, André
%A Handschuh, Siegfried
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F niklaus-etal-2018-survey
%X 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.
%U https://aclanthology.org/C18-1326
%P 3866-3878

Markdown (Informal)

[A Survey on Open Information Extraction](https://aclanthology.org/C18-1326) (Niklaus et al., COLING 2018)

• A Survey on Open Information Extraction (Niklaus et al., COLING 2018)

ACL

• Christina Niklaus, Matthias Cetto, André Freitas, and Siegfried Handschuh. 2018. A Survey on Open Information Extraction. In Proceedings of the 27th International Conference on Computational Linguistics, pages 3866–3878, Santa Fe, New Mexico, USA. Association for Computational Linguistics.