@inproceedings{dowlagar-mamidi-2020-multilingual,
title = "Multilingual Pre-Trained Transformers and Convolutional {NN} Classification Models for Technical Domain Identification",
author = "Dowlagar, Suman and
Mamidi, Radhika",
booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task",
month = dec,
year = "2020",
address = "Patna, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2020.icon-techdofication.4",
pages = "16--20",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification
%A Dowlagar, Suman
%A Mamidi, Radhika
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task
%D 2020
%8 dec
%I NLP Association of India (NLPAI)
%C Patna, India
%F dowlagar-mamidi-2020-multilingual
%X 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.
%U https://aclanthology.org/2020.icon-techdofication.4
%P 16-20
Markdown (Informal)
[Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification](https://aclanthology.org/2020.icon-techdofication.4) (Dowlagar & Mamidi, ICON 2020)
ACL