83 citations · 224 across the 27 of their papers we have counts for
6 papers · 1 filter
Document Automation Architectures: Updated Survey in Light of Large Language Models
Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi +1
This paper surveys the current state of the art in document automation (DA). The objective of DA is to reduce the manual effort during the generation of documents by automatically…
Document Automation Architectures and Technologies: A Survey
Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi +1
This paper surveys the current state of the art in document automation (DA). The objective of DA is to reduce the manual effort during the generation of documents by automatically…
Self-interpretable Convolutional Neural Networks for Text Classification
Wei Zhao, Rahul Singh, Tarun Joshi +2
Deep learning models for natural language processing (NLP) are inherently complex and often viewed as black box in nature. This paper develops an approach for interpreting convolut…
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling
Mina Naghshnejad, Tarun Joshi, Vijayan N. Nair
Grammar error handling (GEH) is an important topic in natural language processing (NLP). GEH includes both grammar error detection and grammar error correction. Recent advances in…
Model Robustness with Text Classification: Semantic-preserving adversarial attacks
Rahul Singh, Tarun Joshi, Vijayan N. Nair +1
We propose algorithms to create adversarial attacks to assess model robustness in text classification problems. They can be used to create white box attacks and black box attacks w…
SHAP values for Explaining CNN-based Text Classification Models
Wei Zhao, Tarun Joshi, Vijayan N. Nair +1
Deep neural networks are increasingly used in natural language processing (NLP) models. However, the need to interpret and explain the results from complex algorithms are limiting…