11 citations · 12 across the 5 of their papers we have counts for
5 papers
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
Han Liu, Siyang Zhao, Xiaotong Zhang +6
Few-shot and zero-shot text classification aim to recognize samples from novel classes with limited labeled samples or no labeled samples at all. While prevailing methods have show…
Boosting Few-Shot Text Classification via Distribution Estimation
Han Liu, Feng Zhang, Xiaotong Zhang +6
Distribution estimation has been demonstrated as one of the most effective approaches in dealing with few-shot image classification, as the low-level patterns and underlying repres…
SDSS J1058+5443: A blue quasar does not have optical/NUV broad emission lines
Xue-Guang Zhang, Si-Dan Zhao
In the manuscript, the blue quasar SDSS J105816.19+544310.2 (=SDSS J1058+5443) at redshift 0.479 is reported as so-far the best candidate of true type-2 quasar with disappearance o…
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection
Han Liu, Feng Zhang, Xiaotong Zhang +4
Multi-label aspect category detection allows a given review sentence to contain multiple aspect categories, which is shown to be more practical in sentiment analysis and attracting…
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu, Siyang Zhao, Xiaotong Zhang +4
Zero-shot intent classification is a vital and challenging task in dialogue systems, which aims to deal with numerous fast-emerging unacquainted intents without annotated training…