Towards grad-cam based explainability in a legal text processing pipeline. extended version
Ł Górski, S Ramakrishna, JM Nowosielski - … to the Complexity of Legal …, 2018 - Springer
… , to showcase the explainability concept for legal texts. With the help of adapted Grad-CAM …
, its consideration of contextual information, and their effect on downstream processing. …
, its consideration of contextual information, and their effect on downstream processing. …
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. Extended Version
JM Nowosielski - … to the Complexity of Legal Systems XI-XII …, 2021 - books.google.com
… , to showcase the explainability concept for legal texts. With the help of adapted Grad-CAM …
, its consideration of contextual information, and their effect on downstream processing. …
, its consideration of contextual information, and their effect on downstream processing. …
Explainable AI in scene understanding for autonomous vehicles in unstructured traffic environments on Indian roads using the inception U-Net Model with Grad-CAM …
… an explainable inception-based U-Net model with Grad-CAM … that combines an
inception-based module as an encoder for … , JM Towards Grad-CAM Based Explainability in a …
inception-based module as an encoder for … , JM Towards Grad-CAM Based Explainability in a …
Boosting court judgment prediction and explanation using legal entities
… (2021) adapt the Grad-CAM explanation method for … The inclusion of legal entities into the
explainability process is new (… We present a natural language processing pipeline to address …
explainability process is new (… We present a natural language processing pipeline to address …
Introduction: a hybrid regulatory framework and technical architecture for a human-centered and explainable AI
V Rodríguez-Doncel, M Palmirani… - … the Complexity of Legal …, 2018 - Springer
… Processing Pipeline”, by Łukasz Górski, Shashishekar … of legal AI systems with the help of
adapted Grad-CAM metrics, … systems able to process temporal information from legal texts—…
adapted Grad-CAM metrics, … systems able to process temporal information from legal texts—…
PoliToHFI at SemEval-2023 task 6: leveraging entity-aware and hierarchical transformers for legal entity recognition and court judgment prediction
… The use of Natural Language Processing techniques in the legal domain has … We propose
a broad comparison of eXplainable AI … Grad-cam: Visual explanations from deep networks via …
a broad comparison of eXplainable AI … Grad-cam: Visual explanations from deep networks via …
TorchEsegeta: Framework for interpretability and explainability of image-based deep learning models
… pipeline, this paper also provides a comprehensive overview of several post hoc interpretability
and explainability … to provide better predictions than the Grad-CAM and other state-of-the-…
and explainability … to provide better predictions than the Grad-CAM and other state-of-the-…
Explainability of methods for critical information extraction from clinical documents: A survey of representative works
… such as in legal or health-care cases. Debates on the importance of … Gradient-weighted
Class Activation Mapping (Grad-CAM) [29], are … Thus, they designed an NLP pipeline to extract …
Class Activation Mapping (Grad-CAM) [29], are … Thus, they designed an NLP pipeline to extract …
Explainable ai in medical imaging: An overview for clinical practitioners–saliency-based xai approaches
… and consistent compliance with legal and ethical requirements. … Similar to CAM, the authors
of Grad-CAM argue, “we can … The main difference between CAM and Grad-CAM is how …
of Grad-CAM argue, “we can … The main difference between CAM and Grad-CAM is how …
XAI for all: Can large language models simplify explainable AI?
… , especially in international legal contexts where explaining … In their study, Grad-CAM was
employed to identify regions of … phases of the model creation pipeline. These phases include …
employed to identify regions of … phases of the model creation pipeline. These phases include …