LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life. In this paper, we study how to automatically extract such relationship through a sentence-level relation classifier and aggregating the scores of entity pairs from a large corpus. Also, we release two benchmark datasets for evaluation and future research.
Frank F. Xu, Bill Yuchen Lin, and Kenny Zhu. 2018. Automatic Extraction of Commonsense LocatedNear Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 96–101, Melbourne, Australia. Association for Computational Linguistics.
@inproceedings{xu-etal-2018-automatic,
title = "Automatic Extraction of Commonsense {L}ocated{N}ear Knowledge",
author = "Xu, Frank F. and
Lin, Bill Yuchen and
Zhu, Kenny",
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/P18-2016/",
doi = "10.18653/v1/P18-2016",
pages = "96--101",
abstract = "LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life. In this paper, we study how to automatically extract such relationship through a sentence-level relation classifier and aggregating the scores of entity pairs from a large corpus. Also, we release two benchmark datasets for evaluation and future research."
}
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%0 Conference Proceedings
%T Automatic Extraction of Commonsense LocatedNear Knowledge
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%A Lin, Bill Yuchen
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%Y Miyao, Yusuke
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%P 96-101
Frank F. Xu, Bill Yuchen Lin, and Kenny Zhu. 2018. Automatic Extraction of Commonsense LocatedNear Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 96–101, Melbourne, Australia. Association for Computational Linguistics.