Niraj Pahari I am a Ph.D. student of Shimada Laboratory in the Department of Artificial Intelligence at Kyushu Institute of Technology (Kyutech), Fukuoka, Japan, conducting research in Natural Language Processing advised by Prof. Kazutaka SHIMADA. Prior to this, I did my masters in RAI lab at KMITL in Bangkok, Thailand. My current research interests lie in active learning and multi-task learning in code-mixed data. |
|
Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data
Niraj Pahari, Kazutaka Shimada ACM Trans. Asian Low-Resour. Lang. Inf. Process. |
Layer Configurations of BERT for Multitask Learning and Data Augmentation
Niraj Pahari, Kazutaka Shimada Journal of Advanced Computational Intelligence and Intelligent Informatics |
Language Preference for Expression of Sentiment for Nepali-English Bilingual Speakers on Social Media
Niraj Pahari, Kazutaka Shimada Sixth Workshop on Computational Approaches to Linguistic Code-Switching (CALCS-EMNLP2023 Workshop) |
Multilingual Symptom Prediction by Simultaneous Learning using BERT
Chencheng Zhu, , Niraj Pahari, Kazutaka Shimada 2023 International Conference on Asian Language Processing |
Handling data scarcity in code-mixing using learning-based approaches
Niraj Pahari, Kazutaka Shimada 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) |
Multi-Task Learning Using BERT With Soft Parameter Sharing Between Layers
Niraj Pahari, Kazutaka Shimada 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) |
Semantic Similarity calculation using the features from pre-trained vector and sentence level embedding
Niraj Pahari, Somyot Kaitwanidvilai ICAST 2021 |
Utilizing User Generated Contents to Describe Tourism Areas of Interest
Bidur Devkota, Hiroyuki Miyazaki, Niraj Pahari 2019 First International Conference on Smart Technology & Urban Development |
Character-level Data Augmentation on Code Mixed Sentences for Low-Resource Settings
Niraj Pahari, Kazutaka Shimada 言語処理学会第29回年次大会(NLP2023) / The 29th Annual Conference of the Association for Natural Language Processing (NLP2023) |
BERTを用いた多言語同時学習による疾患分類
朱晨成, Niraj Pahari, 嶋田和孝 言語処理学会第29回年次大会(NLP2023) / The 29th Annual Conference of the Association for Natural Language Processing (NLP2023) |
Templete taken from Anastasis Stathopoulos, Jon Barron, and Georgia Gkioxari