@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",
editor = "Sharma, Dipti Misra and
Ekbal, Asif and
Arora, Karunesh and
Naskar, Sudip Kumar and
Ganguly, Dipankar and
L, Sobha and
Mamidi, Radhika and
Arora, Sunita and
Mishra, Pruthwik and
Mujadia, Vandan",
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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%0 Conference Proceedings
%T Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification
%A Dowlagar, Suman
%A Mamidi, Radhika
%Y Sharma, Dipti Misra
%Y Ekbal, Asif
%Y Arora, Karunesh
%Y Naskar, Sudip Kumar
%Y Ganguly, Dipankar
%Y L, Sobha
%Y Mamidi, Radhika
%Y Arora, Sunita
%Y Mishra, Pruthwik
%Y Mujadia, Vandan
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task
%D 2020
%8 December
%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