Text Frame Detector: Slot Filling Based On Domain Knowledge Bases
Text Frame Detector: Slot Filling Based On Domain Knowledge Bases
Intent Detection and Slot Filling is the task of interpreting user commandsqueries by extracting the intent and the relevant slots Example :
The key to zero-shot slot-filling is to match the tokens from the utterance with the semantic definition of the slot without training data in the target domain 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
slot machine illustration Several strategies are described to improve the retriever and the generator of RAG in order to make it a better slot filler, which reached If felt case might not be an issue in the published bot However that is not the case Slot filling only happens if the case matches the one in the entity list
