@inproceedings{yang-etal-2018-extracting,
title = "Extracting Commonsense Properties from Embeddings with Limited Human Guidance",
author = "Yang, Yiben and
Birnbaum, Larry and
Wang, Ji-Ping and
Downey, Doug",
editor = "Gurevych, Iryna and
Miyao, Yusuke",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-2102",
doi = "10.18653/v1/P18-2102",
pages = "644--649",
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.",
}
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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)
ACL