Tag
This paper introduces Complementary Action Modeling (CAM), a task that identifies or generates procedural counterparts of automotive maintenance instructions by modifying the action phrase while preserving context. Using a German automotive dataset, the authors examine candidate matching and controlled Seq2Seq generation to model these complementary instructions.