Accurate generation of trigger-action programs with domain-adapted sequence-to-sequence learning

• Main Authors: IMAM NUR BANI YUSUF, JIANG, Lingxiao, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/7723; https://ink.library.smu.edu.sg/context/sis_research/article/8726/viewcontent/ICPC22RecipeGen.pdf
• Institution: Singapore Management University

Trigger-action programming allows end users to write event-driven rules to automate smart devices and internet services. Users can create a trigger-action program (TAP) by specifying triggers and actions from a set of predefined functions along with suitable data fields for the functions. Many trigg...