Mediators: Conversational Agents Explaining NLP Model Behavior

التفاصيل البيبلوغرافية
العنوان: Mediators: Conversational Agents Explaining NLP Model Behavior
المؤلفون: Feldhus, Nils, Ravichandran, Ajay Madhavan, Möller, Sebastian
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning
الوصف: The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this position paper, we establish desiderata for Mediators, text-based conversational agents which are capable of explaining the behavior of neural models interactively using natural language. From the perspective of natural language processing (NLP) research, we engineer a blueprint of such a Mediator for the task of sentiment analysis and assess how far along current research is on the path towards dialogue-based explanations.
Comment: Accepted to IJCAI-ECAI 2022 Workshop on Explainable Artificial Intelligence (XAI)
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2206.06029
رقم الأكسشن: edsarx.2206.06029
قاعدة البيانات: arXiv