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, EMNLP.
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.
Figure 1. Neural Agent Assistant framework
- Intent Identification
- Context Retrieval
- Response Generation
Checkpoints and datasets can be downloaded from here.
pip install --upgrade pip
pip install -r requirements.txt
To check your code at commit time
pre-commit install
You can also get pre-commit to fix your code
pre-commit run