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Isuri Anuradha Nanomi Arachchige
Isuri Anuradha Nanomi Arachchige
PhD candidate
Verified email at wlv.ac.uk
Title
Cited by
Cited by
Year
Investigating Machine Learning & Natural Language Processing Techniques Applied for Predicting Depression Disorder from Online Support Forums: A Systematic Literature Review
IA Nanomi Arachchige, P Sandanapitchai, R Weerasinghe
Information 12 (11), 444, 2021
222021
SOLD: Sinhala Offensive Language Dataset
T Ranasinghe, I Anuradha, D Premasiri, K Silva, H Hettiarachchi, ...
arXiv preprint arXiv:2212.00851, 2022
122022
Deep Learning Based Sinhala Optical Character Recognition (OCR)
I Anuradha, C Liyanage, H Wijayawardhana, R Weerasinghe
2020 20th International Conference on Advances in ICT for Emerging Regions …, 2020
72020
Enhancing Named Entity Recognition for Holocaust Testimonies through Pseudo Labelling and Transformer-based Models
I Anuradha Nanomi Arachchige, L Ha, R Mitkov, JD Steinert
Proceedings of the 7th International Workshop on Historical Document Imaging …, 2023
22023
Transformer-based Language models for the Identification of Idiomatic Expressions
IAN Arachchige, S Suraweera, D Herath
Computational and Corpus-based Phraseology 28, 119, 2022
22022
A Dataset for Research on Modelling Depression Severity in Online Forum Data
IAN Arachchige, VH Jayasuriya, R Weerasinghe
Proceedings of the Student Research Workshop Associated with RANLP 2021, 144-153, 2021
22021
Supervised Learning Approach for Detection of Sinhala Depressive Posts based on Twitter
L Rathnayake, IAN Arachchige
2021 21st International Conference on Advances in ICT for Emerging Regions …, 2021
12021
Estimating the Effects of Text Genre, Image Resolution and Algorithmic Complexity needed for Sinhala Optical Character Recognition
I Anuradha, C Liyanage, R Weerasinghe
International Journal on Advances in ICT for Emerging Regions (ICTer) 14 …, 2021
12021
Evaluating of Large Language Models in Relationship Extraction from Unstructured Data: Empirical Study from Holocaust Testimonies
I Anuradha, R Mitkov, V Nahar
Proceedings of the 14th International Conference on Recent Advances in …, 2023
2023
Stroke Rehabilitator: A novel approach for improving stroke rehabilitation process using machine learning and artificial intelligence.
NAI Anuradha
2019
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