A Single Example Can Improve Zero-Shot Data Generation
Pavel Burnyshev,
Valentin Malykh,
Andrey Bout
et al.
Abstract:Sub-tasks of intent classification, such as robustness to distribution shift, adaptation to specific user groups and personalization, out-ofdomain detection, require extensive and flexible datasets for experiments and evaluation. As collecting such datasets is time-and laborconsuming, we propose to use text generation methods to gather datasets. The generator should be trained to generate utterances that belong to the given intent. We explore two approaches to generating task-oriented utterances. In the zero-s… Show more
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