slot filling

We adopt a fine-tuning approach where a pre-trained LLM is fine-tuned into a slot-filling model using task specific data The fine-tuning data is prepared

Slotfilling without NER¶ The main advantage of this approach is elimination of a separate Named Entity Recognition module However, absence of NER module make

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

slot เว็บ ไหน ดี IE can be modelled as the process of filling semantic frames specified within a domain ontology and consisting of a collection of slots typed with their