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
Venues:
WNUT | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
172–176
Language:
URL:
https://www.aclweb.org/anthology/W17-4423
DOI:
10.18653/v1/W17-4423
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-4423.pdf