Subendhu Rongali

According to our database1, Subendhu Rongali authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Training Naturalized Semantic Parsers with Very Little Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring Transfer Learning For End-to-End Spoken Language Understanding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Improved Pretraining for Domain-specific Contextual Embedding Models.
CoRR, 2020

Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2016
iPlug: Decentralised dispatch of distributed generation.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Taxonomy grounded aggregation of classifiers with different label sets.
CoRR, 2015

A socially aware incentive strategy for encouraging residential solar uptake in Brunei.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

A context vector regression based approach for demand forecasting in district heating networks.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

Estimating return on investment for grid scale storage within the economic dispatch framework.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

From multiple views to single view: a neural network approach.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015


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