Paper on Automatic Task Completion Flows from Web APIs accepted at SIGIR!

Our paper on Automatic Tasks Completion Flows from Web APIs was accepted as a short paper at SIGIR 2019. This paper, co-authored with Seyyed Hadi Hashemi and Imed Zitouni proposed a method for automatically creating task completion flows by chaining together Web APIs. Given a user query, it automatically constructs a flow by chaining together APIs and allowing data to flow from one API to the next. The order in which the APIs are chained is learned by a machine learning model, which generates a set of plans and then scores them by the likelihood of them leading to user satisfaction.

Kyle Williams
Senior Scientist

My research interests include information retrieval, machine learning, natural language processing, and conversational AI.