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
- Editors:
- Iryna Gurevych, Yusuke Miyao
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 96–101
- Language:
- URL:
- https://aclanthology.org/P18-2016
- DOI:
- 10.18653/v1/P18-2016
- Cite (ACL):
- 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.
- Cite (Informal):
- Automatic Extraction of Commonsense LocatedNear Knowledge (Xu et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/P18-2016.pdf
- Code
- adapt-sjtu/commonsense-locatednear