Skip to product information
1 of 1

Pytorch implementation of JointBERT: BERT for Joint Intent

Pytorch implementation of JointBERT: BERT for Joint Intent

Regular price 125.00 ₹ INR
Regular price Sale price 125.00 ₹ INR
Sale Sold out

https://www.nye6o2.vip:9123/entry/register92830/?i_code=78342468

bert slot   Dan bert for joint intent classification and slot filling

Intent Detection and Slot Filling is the task of interpreting user commandsqueries by extracting the intent and the relevant slots 2 Business

Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models Bert Slot · I Still Got A Song · Plezant Liedje voor Lud · The Man Who Wore The Scarlet Purple Robe · Sunday morning coming down · I Know who holds

tiger tiger slot Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding in task-oriented systems  Moreover, BERT contextual representation is combined with WFST and trained simultaneously on supervised data using a gradient descent algorithm

View full details