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08/18/2023
Document Automation Architectures: Updated Survey in Light of Large Language Models
This paper surveys the current state of the art in document automation (...
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10/28/2021
Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures
Recent years have seen a growing adoption of Transformer models such as ...
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09/23/2021
Document Automation Architectures and Technologies: A Survey
This paper surveys the current state of the art in document automation (...
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05/18/2021
Self-interpretable Convolutional Neural Networks for Text Classification
Deep learning models for natural language processing (NLP) are inherentl...
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04/20/2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
This paper proposes a strategy to assess the robustness of different mac...
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09/04/2020
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling
Grammar error handling (GEH) is an important topic in natural language p...
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08/26/2020
SHAP values for Explaining CNN-based Text Classification Models
Deep neural networks are increasingly used in natural language processin...
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08/12/2020
