Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting (2021.naacl-industry)
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| Challenge: | a challenge in building task-oriented dialogue systems is the limited amount of supervised training data available. |
| Approach: | They propose a method for training retrieval-based dialogue systems using annotated data and a larger, unlabeled dataset. |
| Outcome: | The proposed method improves model performance offline and online compared with no pretraining . the model is deployed in an agent-support application and evaluated on live customer service contacts . |
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