Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning

Isabelle Augenstein, Andreas Vlachos, Diana Maynard


Anthology ID:
D15-1086
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
747–757
Language:
URL:
https://aclanthology.org/D15-1086
DOI:
10.18653/v1/D15-1086
Bibkey:
Cite (ACL):
Isabelle Augenstein, Andreas Vlachos, and Diana Maynard. 2015. Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 747–757, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning (Augenstein et al., EMNLP 2015)
Copy Citation:
PDF:
https://aclanthology.org/D15-1086.pdf
Data
FIGER