Dr. Rudra Murthy

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.

• 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)

• Rudra Murthy, 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.

• Data Mining,
• Linear Algebra,
• Natural Language Processing,
• Foundation of Machine Learning

1. 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.
2. 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.
3. 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

Academic Responsibilities

• Journal Reviewer: ACM Transactions on Asian and Low-Resource Language Information Processing (TAL- LIP), Journal by Sadhana – Academy Proceedings in Engineering Science,
• Conference Reviewer: LREC (2020), NAACL (2019), LREC (2018), COLING (2016)

Training Sessions

• Conducted a training session on Deep Learning at LGSoft Bangalore in June 2017
• Conducted a training session on NLP and Deep Learning at BNP Paribas Mumbai on 9th January 2015
• Conducted Lab Session on WSD related activities at IASNLP 2014, IIIT Hyderabad from 1st July 2014 to 15th July 2014

Tools Created

• Source Code on Github: https://github.com/murthyrudra

Department of Information Technology,
Indian Institute of Information Technology,
Lucknow, India.
[email protected]