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.
Cite
CITATION STYLE
Xu, F. F., Lin, B. Y., & Zhu, K. Q. (2018). Automatic extraction of commonsense locatednear knowledge. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (Vol. 2, pp. 96–101). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p18-2016
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