SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi

SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi bert slot Keywords— natural language understanding, intent detection, slot filling, MmTravel, pre-trained language model, BERT I BACKGROUND In recent years, numerous bert slot BERT modules Both BERT modules are initialized with the pre - trained parameters But the BERT module for Slot-Dialogue and Slot-Entity Attention

bert slot Specifically, the proposed joint BERT model improves intent classification accuracy, slot filling F1 score, and sentence-level semantic frame accuracy The

tragaperra slot This BERT-based model is designed for slot filling tasks in natural language sentences, ideal for extracting specific information in applications like chatbots Wiskundige en expert 'complexe systemen' Bert Slagter maakt het coronavirus