ProcessChat: A Business Process Grounded Dialogue Dataset
Abstract: Business processes are designed to streamline and optimize work within an organization and are often defined and
documented by domain experts or process analysts using formal specifications. However, these specifications may be
complex for the users executing the tasks of the process. For example, a recruitment process designed by a domain
expert is used by many actors in the organization, who may not be skilled in understanding the formal notations that
specify the process. With recent advancements in large language models, there has been increasing interest in enabling
users to ask questions in natural language and receive relevant responses that are specific to the user’s context. We
propose a dataset grounded in domain-specific process knowledge, which it is supposed to follow during the
conversation. The dataset consists of 316 dialogs grounded on 73 different process model specifications. We also present
a baseline model, which is trained on the proposed dataset. Our experiments find that the model can do zero-shot
transfer to unseen processes, and sets a strong baseline for future research.
Paper Type: Long
Research Area: Dialogue and Interactive Systems
Research Area Keywords: spoken dialogue systems, task-oriented, applications
Contribution Types: Publicly available software and/or pre-trained models, Data resources
Languages Studied: English
Submission Number: 2317
Loading