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Cost-effective CNNs-based prototypical networks for few-shot relation classification across domains
G Yin, X Wang, H Zhang, J Wang - Knowledge-Based Systems, 2022 - Elsevier
This paper studies few-shot relation classification under domain shift, which is quite a
challenging inductive task in practice. Previous work focusing on few-shot relation …
challenging inductive task in practice. Previous work focusing on few-shot relation …
A Deep Similarity Clustering Network With Compound Regularization for Unsupervised PolSAR Image Classification
Y Zuo, G Li, W Ren, Y Hu - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Polarimetric synthetic aperture radar (PolSAR) image classification is a critical application of
remote sensing image interpretation. Most of the early algorithms that use hand-crafted …
remote sensing image interpretation. Most of the early algorithms that use hand-crafted …
Prototypical networks relation classification model based on entity convolution
Sentence-level relation classification is a technique for classifying the relation between the
head entity and the tail entity in a sentence. Currently, it is popularly used to realize relation …
head entity and the tail entity in a sentence. Currently, it is popularly used to realize relation …
Event causality extraction with event argument correlations
Event Causality Identification (ECI), which aims to detect whether a causality relation exists
between two given textual events, is an important task for event causality understanding …
between two given textual events, is an important task for event causality understanding …
Deep learning for COVID-19 cases-based XCR and chest CT images
The ferocity of coronavirus disease (COVID-19) made CT scans urgently needed as a
practical and effective alternative. Emergency departments may favor this alternative due it is …
practical and effective alternative. Emergency departments may favor this alternative due it is …
Multi-transformer based on prototypical enhancement network for few-shot relation classification with domain adaptation
H Du, Q Zhang, K Li, F Zhao, G Wang - Neurocomputing, 2023 - Elsevier
Few-shot relation classification aims to predict the relation between entity pairs in unseen
sentences with a few labeled sentences. In real-world scenarios, the target domains often …
sentences with a few labeled sentences. In real-world scenarios, the target domains often …