I am broadly interested in the application of Deep Learning to various Natural Language Processing (NLP) tasks. Recently, I have garnered interest in multilingual assistance to overcome annotated data sparsity in low-resource languages. Low-resource languages do not have sufficient annotated data, tools, and other resources to successfully train existing machine learning models for any NLP task. I am interested in exploring how language relatedness can be exploited to overcome lack of sufficient labelled data and improve performance of machine learning models for any task in low-resource languages.
Ph.D (IIT Bombay)
M.E. (Computer Science -IIS Bangalore)
Research Scientist - IBM India Pvt Ltd
Rudra Murthy, Mitesh Khapra and Pushpak Bhattacharyya, Improving NER Tagging Performance in LowResource Languages via Multilingual Learning, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2019.
Tejas Indulal Dhamecha, Rudra Murthy V, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhat- tacharyya. Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. EMNLP 2021
Tamali Banerjee, Rudra Murthy V, Pushpak Bhattacharyya. Scrambled Translation Problem: A Problem of Denoising UNMT. MTSummit 2021
Tamali Banerjee, Rudra Murthy V, Pushpak Bhattacharyya. Crosslingual Embeddings are Essential in UNMT for distant languages: An English to Indo-Aryan Case Study. MTSummit 2021
Sandeep Mathias, Rudra Murthy, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya, Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour, Pro- ceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing. (AACL-IJCNLP)
Girishkumar Ponkiya, Rudra Murthy, Pushpak Bhattacharyya, Girish Palshikar, Looking inside Noun Com- pounds: Unsupervised Prepositional and Free Paraphrasing using Language Models, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. (EMNLP-Findings)
RudraMurthy, Anoop Kunchukuttan and Pushpak Bhattacharyya, Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Lan- guage Technologies (NAACL-HLT), Minneapolis, USA, 2-7 June, 2019.
Rudra Murthy, Anoop Kunchukuttan and Pushpak Bhattacharyya, Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER, Association for Computational Linguistics (ACL), Mel- bourne, Australia, 15-20 July, 2018.
Joe Cheri Ross, Rudra Murthy, Kaustuv Kanti Ganguli, Pushpak Bhattacharyya, Identifying Raga Similarity in Hindustani Classical Music through Distributed Representation of Raga Names, 13th International Sympo- sium on Computer Music Multidisciplinary Research, 2017, (ISCMMR) , Matosinhos, Porto, 25-28 September, 2017.
Rudra Murthy and Pushpak Bhattacharyya, A Deep Learning Solution to Named Entity Recognition, Inter- national Conference on Computational Linguistics and Intelligent Text Processing (CICLing), Konya, Turkey, 3-9 April, 2016.
Sudha Bhingardive, Dhirendra Singh, Rudra Murthy, Pushpak Bhattacharyya, Using Word Embeddings for Bilingual Unsupervised WSD, Proceedings of the 12th International Conference on Natural Language Pro- cessing (ICON), Trivandrum, India, December, 2015.
Sudha Bhingardive, Dhirendra Singh, Rudra Murthy, Hanumant Redkar, Pushpak Bhattacharyya, Unsuper- vised most frequent sense detection using word embeddings, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Denver, Colorado, USA, 31 May – 5 June, 2015.
Jyotsana Khatri, Rudra Murthy and Pushpak Bhattacharyya, A Study of Efficacy of Cross-lingual Word Embeddings for Indian Languages, Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (Young Researchers’ Symposium) (CODS-COMAD), 2020.
Relevant Course Work
Natural Language Processing,
Foundation of Machine Learning
Introduction to Deep Learning: Sudha Bhingardive, Rudra Murthy, Kevin Patel, Prerana Singhal, and Push- pak Bhattacharyya, 12th International Conference on Natural Language Processing (ICON), Trivandrum, In- dia, December, 2015.
Applications of Deep Learning to NLP: Rudra Murthy, Kevin Patel, Mohammed Shad Akhtar, and Push- pak Bhattacharyya, 14th International Conference on Natural Language Processing (ICON), Kolata, India, December, 2017.
Unsupervised Machine Translation: Tutorial: Rudra Murthy, Tamali Banerjee, Jyotsana Khatri, Diptesh Kanojia, and Pushpak Bhattacharyya, 17th International Conference on Natural Language Processing (ICON), Patna, India, December, 2020.
Industry Events Participation
Amazon Research Days Bangalore on 28th September 2018
ACM-MSR Academic Research Summit 2018 at IIIT Hyderabad on 24th-25th January 2018
Journal Reviewer: ACM Transactions on Asian and Low-Resource Language Information Processing (TAL- LIP), Journal by Sadhana – Academy Proceedings in Engineering Science,