Ashim Gupta

According to our database1, Ashim Gupta authored at least 16 papers between 2018 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness.
CoRR, 2023

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

Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

X-Fact: A New Benchmark Dataset for Multilingual Fact Checking.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BERT & Family Eat Word Salad: Experiments with Text Understanding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neural Approaches for Data Driven Dependency Parsing in Sanskrit.
CoRR, 2020

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit.
Comput. Linguistics, 2020

Evaluating Neural Morphological Taggers for Sanskrit.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Fully Contextualized Biomedical NER.
Proceedings of the Advances in Information Retrieval, 2019

2018
An LSTM-CRF Based Approach to Token-Level Metaphor Detection.
Proceedings of the Workshop on Figurative Language Processing, 2018


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