Summary of Schema Augmentation For Zero-shot Domain Adaptation in Dialogue State Tracking, by Christopher Richardson et al.
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
by Christopher Richardson, Roshan Sharma, Neeraj Gaur, Parisa Haghani, Anirudh Sundar, Bhuvana Ramabhadran
First submitted to arxiv on: 31 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper tackles the challenging problem of zero-shot domain adaptation for dialogue state tracking (DST) in task-oriented dialogue (TOD) systems. Existing large language model approaches rely on prompting, but their effectiveness depends heavily on prompt engineering and the underlying language model’s ability to generalize. The proposed solution is a novel data augmentation approach called Schema Augmentation, which improves zero-shot domain adaptation through fine-tuning. This technique introduces variations of slot names within the schema provided in the prompt, enhancing generalization. The paper presents experiments on MultiWOZ and SpokenWOZ datasets, showing that the proposed approach achieves significant accuracy gains over unseen domains while maintaining performance across all domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how computers can better talk with humans. Right now, it’s hard for computers to have conversations in new situations they haven’t seen before. The researchers found a way to make this work better by changing the way they train the computer’s language model. They came up with an idea called Schema Augmentation that makes the computer more good at understanding what people are saying and responding correctly. The results show that this approach works really well, even when the computer is talking about new topics it hasn’t seen before. |
Keywords
» Artificial intelligence » Data augmentation » Domain adaptation » Fine tuning » Generalization » Language model » Large language model » Prompt » Prompting » Tracking » Zero shot
