Search Results for author:
Found 2 papers, 1 papers with code
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning has been gradually applied to learn high-quality unsupervised sentence embedding.
Data Augmentation for Copy-Mechanism in Dialogue State Tracking
While several state-of-the-art approaches to dialogue state tracking (DST) have shown promising performances on several benchmarks, there is still a significant performance gap between seen slot values (i. e., values that occur in both training set and test set) and unseen ones (values that occur in training set but not in test set).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
