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        <title>Extracting Commonsense Properties from Embeddings with Limited Human Guidance</title>
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        <namePart type="given">Yiben</namePart>
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            <title>Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)</title>
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            <namePart type="given">Iryna</namePart>
            <namePart type="family">Gurevych</namePart>
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
            <namePart type="family">Miyao</namePart>
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    <abstract>Intelligent systems require common sense, but automatically extracting this knowledge from text can be difficult. We propose and assess methods for extracting one type of commonsense knowledge, object-property comparisons, from pre-trained embeddings. In experiments, we show that our approach exceeds the accuracy of previous work but requires substantially less hand-annotated knowledge. Further, we show that an active learning approach that synthesizes common-sense queries can boost accuracy.</abstract>
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    <identifier type="doi">10.18653/v1/P18-2102</identifier>
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%0 Conference Proceedings
%T Extracting Commonsense Properties from Embeddings with Limited Human Guidance
%A Yang, Yiben
%A Birnbaum, Larry
%A Wang, Ji-Ping
%A Downey, Doug
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F yang-etal-2018-extracting
%X Intelligent systems require common sense, but automatically extracting this knowledge from text can be difficult. We propose and assess methods for extracting one type of commonsense knowledge, object-property comparisons, from pre-trained embeddings. In experiments, we show that our approach exceeds the accuracy of previous work but requires substantially less hand-annotated knowledge. Further, we show that an active learning approach that synthesizes common-sense queries can boost accuracy.
%R 10.18653/v1/P18-2102
%U https://aclanthology.org/P18-2102/
%U https://doi.org/10.18653/v1/P18-2102
%P 644-649

Markdown (Informal)

[Extracting Commonsense Properties from Embeddings with Limited Human Guidance](https://aclanthology.org/P18-2102/) (Yang et al., ACL 2018)

• Extracting Commonsense Properties from Embeddings with Limited Human Guidance (Yang et al., ACL 2018)

ACL

• Yiben Yang, Larry Birnbaum, Ji-Ping Wang, and Doug Downey. 2018. Extracting Commonsense Properties from Embeddings with Limited Human Guidance. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 644–649, Melbourne, Australia. Association for Computational Linguistics.