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.

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Kyle Williams
Senior Scientist

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