Possessors Change Over Time: A Case Study with Artworks

Dhivya Chinnappa, Eduardo Blanco


Abstract
This paper presents a corpus and experimental results to extract possession relations over time. We work with Wikipedia articles about artworks, and extract possession relations along with temporal information indicating when these relations are true. The annotation scheme yields many possessors over time for a given artwork, and experimental results show that an LSTM ensemble can automate the task.
Anthology ID:
D18-1251
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Month:
October-November
Year:
2018
Address:
Brussels, Belgium
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2278–2287
Language:
URL:
https://aclanthology.org/D18-1251
DOI:
10.18653/v1/D18-1251
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/D18-1251.pdf