Context-Sensitive Recognition for Emerging and Rare Entities

Jake Williams, Giovanni Santia


Abstract
This paper is a shared task system description for the 2017 W-NUT shared task on Rare and Emerging Named Entities. Our paper describes the development and application of a novel algorithm for named entity recognition that relies only on the contexts of word forms. A comparison against the other submitted systems is provided.
Anthology ID:
W17-4423
Volume:
Proceedings of the 3rd Workshop on Noisy User-generated Text
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Leon Derczynski, Wei Xu, Alan Ritter, Tim Baldwin
Venue:
WNUT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
172–176
Language:
URL:
https://aclanthology.org/W17-4423
DOI:
10.18653/v1/W17-4423
Bibkey:
Cite (ACL):
Jake Williams and Giovanni Santia. 2017. Context-Sensitive Recognition for Emerging and Rare Entities. In Proceedings of the 3rd Workshop on Noisy User-generated Text, pages 172–176, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Context-Sensitive Recognition for Emerging and Rare Entities (Williams & Santia, WNUT 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-4423.pdf