no code implementations • SEMEVAL 2018 • Xia Cui, Sadamori Kojaku, Naoki Masuda, Danushka Bollegala
We observe that prioritising features that are common to both training and test instances as cores during the CP decomposition to further improve the accuracy of text classification.
no code implementations • RANLP 2019 • Xia Cui, Danushka Bollegala
Using the labelled data from the source domain, we first learn a projection that maximises the distance among the nearest neighbours with opposite labels in the source domain.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Xia Cui, Danushka Bollegala
We model source-selection as an attention-learning problem, where we learn attention over sources for a given target instance.
General Classification Multi-Source Unsupervised Domain Adaptation +3