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A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding
A new multi-cluster boundary learning method using MiniLM embeddings has been proposed to improve out-of-scope intent detection in human-machine interaction systems.
Impact
30/100
Current rank score
14.02
Source tier
Tier 1
Category
Research
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