CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking

[PDF] arxiv.org

MoNET: Tackle state momentum via noise-enhanced training for dialogue state tracking

H Zhang, J Bao, H Sun, Y Wu, W Li, S Cui… - arXiv preprint arXiv …, 2022 - arxiv.org
Dialogue state tracking (DST) aims to convert the dialogue history into dialogue states which
consist of slot-value pairs. As condensed structural information memorizing all history …
被引用次数：7 相关文章 所有 4 个版本
[PDF] arxiv.org

Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT

J Lee, GG Lee - arXiv preprint arXiv:2409.06243, 2024 - arxiv.org
Traditional dialogue state tracking approaches heavily rely on extensive training data and
handcrafted features, limiting their scalability and adaptability to new domains. In this paper …
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[引用][C] Transductive learning for peer review score prediction

P MUANGKAMMUEN
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