Dataset augmentation using back-translation to improve early stage dialog systems

HIGHLIGHTS

  • who: The, and th Canadian, Conference on from the National Bank of Canada have published the research work: Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems, in the Journal: (JOURNAL)
  • what: The authors propose a novel dataefficient approach towards this goal. The authors focus the work on this latter category, composed of question answering dialog systems. The solution the authors propose relies on generating artificial paraphrases based on existing observations during the design phase of a new dialog system. A subset of the experiments were also run on a dataset including 50 . . .

     

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