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# Neural Agent Assistant framework for Customer Service Support
Neural Agent Assistant framework includes tools and artifacts rooted in deep learning and foundation language models to improve task-oriented customer service conversations and experiences. It is based on the following paper:

Stephen Obadinma, ..., [Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Suppor](ref), EMNLP.
Stephen Obadinma, ..., [Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Suppor](https://aclanthology.org/2022.emnlp-industry.44/), EMNLP.

## An Overview
The framework features three high-level components: (1) Intent Identification, (2) Context Retrieval, and (3) Response Generation. Though designed as parts in a pipeline in generating a natural language response to customer questions, the output from any given component can nonetheless be transferred back to the human agent when needed.
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