Mining Possessions: Existence, Type and Temporal Anchors

Dhivya Chinnappa, Eduardo Blanco


Abstract
This paper presents a corpus and experiments to mine possession relations from text. Specifically, we target alienable and control possessions, and assign temporal anchors indicating when the possession holds between possessor and possessee. We present new annotations for this task, and experimental results using both traditional classifiers and neural networks. Results show that the three subtasks (predicting possession existence, possession type and temporal anchors) can be automated.
Anthology ID:
N18-1046
Volume:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
496–505
Language:
URL:
https://aclanthology.org/N18-1046
DOI:
10.18653/v1/N18-1046
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/N18-1046.pdf