LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without Using Linguistic Features
Rodrigo Cuéllar-Hidalgo, Julio de Jesús Guerrero-Zambrano, Dominic Forest, Gerardo Reyes-Salgado, Juan-Manuel Torres-Moreno
Abstract
This work aims to evaluate the ability that both probabilistic and state-of-the-art vector space modeling (VSM) methods provide to well known machine learning algorithms to identify social network documents to be classified as aggressive, gender biased or communally charged. To this end, an exploratory stage was performed first in order to find relevant settings to test, i.e. by using training and development samples, we trained multiple algorithms using multiple vector space modeling and probabilistic methods and discarded the less informative configurations. These systems were submitted to the competition of the ComMA@ICON’21 Workshop on Multilingual Gender Biased and Communal Language Identification.- Anthology ID:
- 2021.icon-multigen.6
- Volume:
- Proceedings of the 18th International Conference on Natural Language Processing: Shared Task on Multilingual Gender Biased and Communal Language Identification
- Month:
- December
- Year:
- 2021
- Address:
- NIT Silchar
- Editors:
- Ritesh Kumar, Siddharth Singh, Enakshi Nandi, Shyam Ratan, Laishram Niranjana Devi, Bornini Lahiri, Akanksha Bansal, Akash Bhagat, Yogesh Dawer
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 41–45
- Language:
- URL:
- https://aclanthology.org/2021.icon-multigen.6
- DOI:
- Cite (ACL):
- Rodrigo Cuéllar-Hidalgo, Julio de Jesús Guerrero-Zambrano, Dominic Forest, Gerardo Reyes-Salgado, and Juan-Manuel Torres-Moreno. 2021. LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without Using Linguistic Features. In Proceedings of the 18th International Conference on Natural Language Processing: Shared Task on Multilingual Gender Biased and Communal Language Identification, pages 41–45, NIT Silchar. NLP Association of India (NLPAI).
- Cite (Informal):
- LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without Using Linguistic Features (Cuéllar-Hidalgo et al., ICON 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.icon-multigen.6.pdf