Publications

Subendhu Rongali, Mukund Sridhar Harakere, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum (2023). Low-Resource Compositional Semantic Parsing with Concept Pretraining. In Proceedings of EACL 2023.

Code Dataset Project

Subendhu Rongali (2022). Low Resource Language Understanding in Voice Assistants. Doctoral Dissertations. 2717. University of Massachusetts Amherst.

Preprint Project

Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza (2022). Training Naturalized Semantic Parsers with Very Little Data. In Proceedings of IJCAI 2022.

Dataset Project Appendix

Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza (2021). Exploring Transfer Learning for End-to-End Spoken Language Understanding. In Proceedings of AAAI 2021.

Preprint PDF Dataset Project Poster Slides

Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O’Gorman, Mohit Iyyer, Andrew McCallum (2020). Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders. In Proceedings of EMNLP 2020.

Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser (2020). Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings. In Proceedings of EMNLP Findings 2020.

Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza (2020). Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. In Proceedings of The Web Conference 2020 (WWW ’20).

Preprint PDF Project Poster Slides

Subendhu Rongali, Adam J. Rose, David D. McManus, Adarsha S. Bajracharya, Alok Kapoor, Edgard Granillo, Hong Yu (2020). Learning Latent Space Representations to Predict Patient Outcomes. In the Journal of Medical Internet Research (JMIR).

Preprint Code Dataset Project

Subendhu Rongali, Tanuja Ganu, Manikandan Padmanabhan, Vijay Arya, Shivkumar Kalyanaraman, Mohamad Iskandar Petra (2016). iPlug: Decentralised Dispatch of Distributed Generation. In the 8th International Conference on Communication Systems and Networks (COMSNETS ’16).

Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar (2015). Taxonomy grounded aggregation of classifiers with different label sets. On arXiv.

Subendhu Rongali, Anamitra R Choudhury, Vikas Chandan, Vijay Arya (2015). A context vector regression based approach for demand forecasting in district heating networks. In the 6th Conference Innovative Smart Grid Technologies-Asia by IEEE.

Subendhu Rongali, AP Sarath Chandar, Balaraman Ravindran (2015). From multiple views to single view: a neural network approach. In the Proceedings of the 2nd ACM IKDD Conference on Data Sciences (CoDS ’15).