The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018

Florian Janke, Tongrui Li, Eric Rincón, Gualberto Guzmán, Barbara Bullock, Almeida Jacqueline Toribio

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Abstract
This paper describes the system for the Named Entity Recognition Shared Task of the Third Workshop on Computational Approaches to Linguistic Code-Switching (CALCS) submitted by the Bilingual Annotations Tasks (BATs) research group of the University of Texas. Our system uses several features to train a Conditional Random Field (CRF) model for classifying input words as Named Entities (NEs) using the Inside-Outside-Beginning (IOB) tagging scheme. We participated in the Modern Standard Arabic-Egyptian Arabic (MSA-EGY) and English-Spanish (ENG-SPA) tasks, achieving weighted average F-scores of 65.62 and 54.16 respectively. We also describe the performance of a deep neural network (NN) trained on a subset of the CRF features, which did not surpass CRF performance.
Anthology ID:
W18-3216
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:
120–125
Language:
URL:
https://aclanthology.org/W18-3216
DOI:
10.18653/v1/W18-3216
Bibkey:
Cite (ACL):
Florian Janke, Tongrui Li, Eric Rincón, Gualberto Guzmán, Barbara Bullock, and Almeida Jacqueline Toribio. 2018. The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018. In Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching, pages 120–125, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018 (Janke et al., ACL 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/W18-3216.pdf
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