Pranav Shetty

Orcid: 0000-0003-2015-9556

According to our database1, Pranav Shetty authored at least 14 papers between 2021 and 2025.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2025
A pipeline for data and knowledge extraction from material science literature to accelerate scientific discovery.
PhD thesis, 2025

Where is this coming from? Making groundedness count in the evaluation of Document VQA models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Accelerating materials discovery for polymer solar cells: Data-driven insights enabled by natural language processing.
CoRR, 2024

POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
A Compact Quad-Port UWB MIMO Antenna With Improved Isolation Using a Novel Mesh-Like Decoupling Structure and Unique DGS.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2023

2022
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images.
CoRR, 2022

A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing.
CoRR, 2022

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
CoRR, 2022

Design of a Six-Port Compact UWB MIMO Antenna With a Distinctive DGS for Improved Isolation.
IEEE Access, 2022

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Machine-Guided Polymer Knowledge Extraction Using Natural Language Processing: The Example of Named Entity Normalization.
J. Chem. Inf. Model., 2021

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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