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
- PDF:
- http://aclanthology.lst.uni-saarland.de/W17-4423.pdf