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Related Papers

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractBuilding models of natural language processing (NLP) is challenging in low-resource scenarios where limited data are available. Optimization-based meta-learning algorithms achieve promising results in low-resource scenarios by adapting a well-generalized …...

39333

The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn task-oriented dialog (ToD) new intents emerge on regular basis, with a handful of available utterances at best. This renders effective Few-Shot Intent Classification (FSIC) a central challenge for modular …...

42954