Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection. (arXiv:2208.07084v2 [cs.CL] UPDATED)

Intent discovery is a fundamental task in NLP, and it is increasingly
relevant for a variety of industrial applications (Quarteroni 2018). The main
challenge resides in the need to identify from input utterances novel unseen
in-tents. Herein, we propose Z-BERT-A, a two-stage method for intent discovery
relying on a Transformer architecture (Vaswani et al. 2017; Devlin et al.
2018), fine-tuned with Adapters (Pfeiffer et al. 2020), initially trained for
Natural Language Inference (NLI), and later applied for unknown in-tent
classification …

arxiv bert detection pipeline