Automatic Extraction of Commonsense LocatedNear Knowledge

Frank F. Xu, Bill Yuchen Lin, Kenny Zhu


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.
Anthology ID:
P18-2016
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–101
Language:
URL:
https://www.aclweb.org/anthology/P18-2016
DOI:
10.18653/v1/P18-2016
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/P18-2016.pdf
Poster:
 P18-2016.Poster.pdf