IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data

Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh


Abstract
This paper describes the best performing system for the shared task on Named Entity Recognition (NER) on code-switched data for the language pair Spanish-English (ENG-SPA). We introduce a gated neural architecture for the NER task. Our final model achieves an F1 score of 63.76%, outperforming the baseline by 10%.
Anthology ID:
W18-3220
Volume:
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venues:
ACL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
148–153
Language:
URL:
https://www.aclweb.org/anthology/W18-3220
DOI:
10.18653/v1/W18-3220
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-3220.pdf