Exploring the Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Out-of-Scope Detection Tasks. (arXiv:2205.09021v1 [cs.LG])

This work explores the intrinsic limitations of the popular one-hot encoding
method in classification of intents when detection of out-of-scope (OOS) inputs
is required. Although recent work has shown that there can be significant
improvements in OOS detection when the intent classes are represented as
dense-vectors based on domain specific knowledge, we argue in this paper that
such gains are more likely due to advantages of dense-vector to one-hot
encoding methods in representing the complexity of the OOS space. We …

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