Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems. (arXiv:2211.09711v1 [cs.CL])

Spoken Language Understanding (SLU) systems typically consist of a set of
machine learning models that operate in conjunction to produce an SLU
hypothesis. The generated hypothesis is then sent to downstream components for
further action. However, it is desirable to discard an incorrect hypothesis
before sending it downstream. In this work, we present two designs for SLU
hypothesis rejection modules: (i) scheme R1 that performs rejection on domain
specific SLU hypothesis and, (ii) scheme R2 that performs rejection on
hypothesis …

arxiv design hypothesis language modules spoken language understanding systems understanding