Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

@article{Yin2019BenchmarkingZT,
  title={Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach},
  author={Wenpeng Yin and Jamaal Hay and D. Roth},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.00161}
}
Zero-shot text classification (0Shot-TC) is a challenging NLU problem to which little attention has been paid by the research community. 0Shot-TC aims to associate an appropriate label with a piece of text, irrespective of the text domain and the aspect (e.g., topic, emotion, event, etc.) described by the label. And there are only a few articles studying 0Shot-TC, all focusing only on topical categorization which, we argue, is just the tip of the iceberg in 0Shot-TC. In addition, the chaotic… Expand
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