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
- 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)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W17-4423.pdf