Abstract
In this paper, we present a transfer learning system to perform technical domain identification on multilingual text data. We have submitted two runs, one uses the transformer model BERT, and the other uses XLM-ROBERTa with the CNN model for text classification. These models allowed us to identify the domain of the given sentences for the ICON 2020 shared Task, TechDOfication: Technical Domain Identification. Our system ranked the best for the subtasks 1d, 1g for the given TechDOfication dataset.- Anthology ID:
- 2020.icon-techdofication.4
- Volume:
- Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task
- Month:
- December
- Year:
- 2020
- Address:
- Patna, India
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 16–20
- Language:
- URL:
- https://aclanthology.org/2020.icon-techdofication.4
- DOI:
- Cite (ACL):
- Suman Dowlagar and Radhika Mamidi. 2020. Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task, pages 16–20, Patna, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification (Dowlagar & Mamidi, ICON 2020)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2020.icon-techdofication.4.pdf