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We present a knowledge-grounded dialog system developed for the ninth DialogSystem Technology Challenge (DSTC9) Track 1 - Beyond Domain APIs: Task-orientedConversational Modeling with Unstructured Knowledge Access. We leveragetransfer learning with existing language models to accomplish the tasks in thischallenge track. Specifically, we divided the task into four sub-tasks andfine-tuned several Transformer models on each of the sub-tasks. We madeadditional changes that yielded gains in both performance and efficiency,including the combination of the model with traditional entity-matchingtechniques, and the addition of a pointer network to the output layer of thelanguage model.

A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models