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Found 4 papers, 1 papers with code
Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
To overcome this challenge, we introduce a novel Zero-Shot generalizable end-to-end Task-oriented Dialog system, ZS-ToD, that leverages domain schemas to allow for robust generalization to unseen domains and exploits effective summarization of the dialog history.
Toward Open-domain Slot Filling via Self-supervised Co-training
Phase one acquires two sets of complementary pseudo labels automatically.
MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
To facilitate research for app recommendation systems, we introduce a large-scale dataset, called MobileRec.
Proactive Prioritization of App Issues via Contrastive Learning
Phase one adapts the pre-trained T5 model to the user reviews data in a self-supervised fashion.
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