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Conversational AI for Natural Human-Centric Interaction: 12th
Conversational AI for Natural Human-Centric Interaction: 12th
intent classification and slot filling It includes two modules, IR2SF and SF2IR so that the performance of intention recognition and slot filling can be
We enrich a pre-trained language model, such as BERT or RoBERTa, to jointly solve the tasks of intent classification and slot filling • We introduce an
bert for joint intent classification and slot filling In particular, the segment embedding has no discrimination for single sentence classification and labelling tasks The first token has been inserted by special
spaceman pragmatic play spaceman slot png Bert-Joint, , a multi-lingual joint text classification and sequence labeling framework The experimental evaluation over two well-known English
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