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Related Papers
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
AbstractPractical dialogue systems require robust methods of detecting out-of-scope (OOS) utterances to avoid conversational breakdowns and related failure modes. Directly training a model with labeled OOS examples yields reasonable performance, …...
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
AbstractThe design of expressive representations of entities and relations in a knowledge graph is an important endeavor. While many of the existing approaches have primarily focused on learning from relational …...