Papers by Ban Kawas

1 papers
A Survey of the State of Explainable AI for Natural Language Processing (2020.aacl-main)

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Challenge: Recent years have seen significant advances in the quality of state-of-the-art models, but they have come at the expense of models becoming less interpretable.
Approach: This survey examines the current state of Explainable AI within the domain of NLP . they detail the operations and explainability techniques currently available for generating explanations for NLP models .
Outcome: This survey examines the state of explainable AI (XAI) within the domain of natural language processing . it focuses on the operations and explainability techniques currently available for NLP models .

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