ID-SF-Fusion: a cooperative model of intent detection and slot filling

slot filling   Dan slot machine pay table

Slot Filling is the task of extracting the semantic concept from a given natural language utterance Recently it has been shown that using contextual

Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art  Slot-filling is a common design-pattern in spoken design, where you typically want to allow users to more freely answer a broad question instead of directly

buy a slot machine An ex- ample of slot filling in the MRC framework is illustrated in Figure 1 We transform each slot type we need to fill into a question, and then fill the It seems in Watson you can only detect if open context is there, and not slot filling What I mean by slot filling: When the bot is getting