Vasudevan Nedumpozhimana
About me
I am a Research Fellow in Trinity College Dublin, Ireland.
Email: vasudev2020@gmail.com
Phone: +353-89 948 1032
Academics
B-Tech: Computer Science and Engineering Department, Calicut University
PhD: Computer Science and Engineering Department, IIT Bombay
Thesis: Automatic Stem Identification for Languages with Concatenative Suffix Morphology
Research interests
Natural Language Processing
Machine Learning
Data Science
Publications
Nedumpozhimana V, Kelleher JD. Topic aware probing: From sentence length prediction to idiom identification how reliant are neural language models on topic? Natural Language Processing. doi:10.1017/nlp.2024.43
Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Maja Popovic, Nishtha Jain, Patricia Buffini, and John Kelleher. Medical Concept Mention Identification in Social Media Posts using a Small Number of Sample References. Proceedings of Recent Advances in Natural Language Processing, pages 777–784, Varna, Sep 2023.
Maja Popovic, Vasudevan Nedumpozhimana, Meegan Gower, Sneha Rautmare, Nishtha Jain, and John Kelleher. Using MT for multilingual covid-19 case load prediction from social media texts. Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 461–470, Jun 2023.
Filip Klubicka, Vasudevan Nedumpozhimana, and John D. Kelleher. Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), pages 45–57, Dubrovnik, Croatia. Association for Computational Linguistics, 2023.
Vasudevan Nedumpozhimana, Filip Klubicka, and John D. Kelleher. Shapley idioms: Analysing BERT Sentence Embeddings for General idiom Token Identification. Frontiers in Artificial Intelligence, 2022.
Vasudevan Nedumpozhimana and John D. Kelleher. Finding BERT’s Idiomatic Key. Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021), Association for Computational Linguistics, 57–62, Aug 2021, doi:10.18653/v1/2021.mwe-1.7
T. A. Fathima, Vasudevan Nedumpozhimana, Yee Hui Lee, Soumyabrata Dev. Embedding Cyclical Information in Solar Irradiance Forecasting, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021.
T. A. Fathima, Vasudevan Nedumpozhimana, Jiantao Wu, Yee Hui Lee, and Soumyabrata Dev. Role of Temporal Information for Multi-step Ahead Forecasting of Solar Irradiance, PIERS 2021, Hangzhou, 2021.
Garca-Rudolph A, Kelleher JD, Cegarra B, Saur Ruiz J, Nedumpozhimana V, Opisso E, Tormos JM, Bernabeu M. The impact of Body Mass Index on functional rehabilitation outcomes of working-age in-patients with stroke. European Journal of Physical and Rehabilitation Medicine, 2020, doi:0.23736/S1973-9087.20.06411-4
T. A. Fathima, Vasudevan Nedumpozhimana, Yee Hui Lee, Stefan Winkler, and Soumyabrata Dev, A Chaotic Approach on Solar Irradiance Forecasting, 42nd Proc. Progress In Electromagnetics Research Symposium, 2019.
T. A. Fathima, Vasudevan Nedumpozhimana, Yee Hui Lee, Stefan Winkler, and Soumyabrata Dev, Predicting Solar Irradiance in Tropical Region of Singapore, 42nd Proc. Progress In Electromagnetics Research Symposium, 2019.
Arjun Krishnamoorthy and Akshay Kishor Patil and N. Vasudevan and Vinod Pathari, News Article Classification with Clustering using Semi-Supervised Learning, In ICACCI, pp 86-91, 07 Jan 2019.
A. Thankaraj and A. J. Nair and N. Vasudevan and V. Pathari, Misclassifications: The missing link, In ICACCI, pp 1719-1722, 13-16 Sept 2017
N. Vasudevan and Pushpak Bhattacharyya, Little by little: Semi supervised stemming through stem set minimization, In International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan, 2013.
N. Vasudevan and Pushpak Bhattacharyya, Optimal stem identification in presence of suffix list, In CICLing (1), pages 92103, 2012.
N. Vasudevan and Pushpak Bhattacharyya, Probabilistic approach for automatic last suffix extraction, In ICON, 2010.