Open Intent Detection

Open intent detection focuses on identifying user intents, even those unseen during model training, within natural language text. Current research emphasizes improving compositional generalization—handling novel combinations of words and phrases—through techniques like data augmentation with large language models and multi-view models that leverage diverse data sources and incorporate domain knowledge. These advancements aim to enhance the robustness and adaptability of natural language understanding systems, impacting applications ranging from task-oriented dialogue systems to assistive technologies like prosthetic control.