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
Editors:
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Thamar Solorio, Mona Diab, Julia Hirschberg
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
148–153
Language:
URL:
https://aclanthology.org/W18-3220
DOI:
10.18653/v1/W18-3220
Bibkey:
Cite (ACL):
Shashwat Trivedi, Harsh Rangwani, and Anil Kumar Singh. 2018. IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. In Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching, pages 148–153, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data (Trivedi et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-3220.pdf