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Found 5 papers, 2 papers with code
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method
Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another.
Behaviour Trees for Creating Conversational Explanation Experiences
Formalising the XAI system promotes the reuse of existing explainers and known explanation needs that can be refined and evolved over time using user evaluation feedback.
Clinical Dialogue Transcription Error Correction using Seq2Seq Models
This information contributes to medical decision-making regarding the patient and plays a crucial role in their healthcare journey.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
For this purpose a counterfactual explainer needs to discover input dependencies that relate to outcome changes.
Clood CBR: towards microservices oriented case-based reasoning
CBR applications have been deployed in a wide range of sectors, from pharmaceuticals; to defence and aerospace to IoT and transportation, to poetry and music generation; for example.
