Zhenzhou Lin — accepted AI-conference papers

2024

Source-free Domain Adaptation for Aspect-based Sentiment Analysis

Zishuo Zhao, Ziyang Ma, Zhenzhou Lin, Jingyou Xie, Yinghui Li, Ying Shen

COLING 2024main

Unsupervised Domain Adaptation (UDA) of the Aspect-based Sentiment Analysis (ABSA) task aims to transfer knowledge learned from labeled source domain datasets to unlabeled target domains on the assumption that samples from the source domain are freely accessible during the training period. However,…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

Source-Free Unsupervised Domain Adaptation for Question Answering

Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen

ICASSP 2023accepted

Based on the assumption that samples in the source and target domains are freely accessible during training, unsupervised domain adaptation (UDA) of question answering (QA) aims to transfer knowledge learned from labeled source datasets to similar tasks in the unlabeled target domains. However, such…

Cited by 0 Source ↗Scholar ↗