Leveraging the Information in In-Domain Datasets for Transformer-Based Intent Detection

In this paper, we improve the intent detection performance by leveraging the datasets which are collected in the same domain but have different intent categories. In the baseline system, we use the state-of-the-art pre-trained transformer models with an intent detection classification layer. Our proposed method has two fine-tuning stages. In the first stage, the parameters of the transformer and c...