3 papers
cs.CL2022
A Sequence Tagging based Framework for Few-Shot Relation Extraction
Xukun Luo, Ping Wang
Relation Extraction (RE) refers to extracting the relation triples in the input text. Existing neural work based systems for RE rely heavily on manually labeled training data, but…
math.CO2021
Mean Hitting Time on Recursive Growth Tree Network
Fei Ma, Ping Wang
In this paper, we are concerned with mean hitting time for random walks on recursive growth tree networks that are built based on an arbitrary tree as t…
cs.CV2021
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
Kun Yan, Chenbin Zhang, Jun Hou +4
Multi-label few-shot image classification (ML-FSIC) is the task of assigning descriptive labels to previously unseen images, based on a small number of training examples. A key fea…