Ayush Maheshwari

Orcid: 0000-0002-2542-3750

According to our database1, Ayush Maheshwari authored at least 25 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study.
CoRR, 2024

LexGen: Domain-aware Multilingual Lexicon Generation.
CoRR, 2024

DictDis: Dictionary Constrained Disambiguation for Improved NMT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FAIR: Filtering of Automatically Induced Rules.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Samayik: A Benchmark and Dataset for English-Sanskrit Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation.
CoRR, 2023

Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images.
Proceedings of the Machine Learning for Health, 2023

Data Efficient Machine Learning for Educational Content Creation.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

UDAAN - Machine Learning based Post-Editing tool for Document Translation.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT.
CoRR, 2022

UDAAN - Machine Learning based Post-Editing tool for Document Translation.
CoRR, 2022

Error Correction in ASR using Sequence-to-Sequence Models.
CoRR, 2022

A Benchmark and Dataset for Post-OCR text correction in Sanskrit.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SPEAR : Semi-supervised Data Programming in Python.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Rule Augmented Unsupervised Constituency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Semi-Supervised Data Programming with Subset Selection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Data Programming using Semi-Supervision and Subset Selection.
CoRR, 2020

2019
Tale of tails using rule augmented sequence labeling for event extraction.
CoRR, 2019

OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Representation Learning on Graphs by Integrating Content and Structure Information.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

2018
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018


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