Linguistically-Enriched and Context-AwareZero-shot Slot Filling

The goal of slot filling is to identify slots corresponding to different parameters of the user's query With the help of slot-filling models,

Linguistically-Enriched and Context-AwareZero-shot Slot Filling Joint Multiple Intent Detection and Slot Filling Via Self-Distillation Abstract: Intent detection and slot filling are two main tasks in natural language

The goal of slot filling is to identify slots corresponding to different parameters of the user's query With the help of slot-filling models,

slot candy bonanza Slot filling is a critical task in natural language understanding for dialog systems State-of-the-art approaches treat it as a sequence labeling problem

slot fillers,” in which a “slot” in the formula can be filled by a number of filling theory to Old english , and Magoun's student

filling slot bearing 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

Abstract Slot filling and intent prediction are basic tasks in capturing semantic frame of human utterances Slots and intent have strong correlation for