12 citations · 16 across the 2 of their papers we have counts for
4 papers
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
Junjie Ye, Nuo Xu, Yikun Wang +4
Despite the impressive capabilities of large language models (LLMs), their performance on information extraction tasks is still not entirely satisfactory. However, their remarkable…
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
Siyin Wang, Jie Zhou, Qin Chen +3
Domain adaption has been widely adapted for cross-domain sentiment analysis to transfer knowledge from the source domain to the target domain. Whereas, most methods are proposed un…
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis
Jingyi Zhou, Jie Zhou, Jiabao Zhao +5
Few-shot text classification has attracted great interest in both academia and industry due to the lack of labeled data in many fields. Different from general text classification (…
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification
Junjie Ye, Jie Zhou, Junfeng Tian +4
Recently, Target-oriented Multimodal Sentiment Classification (TMSC) has gained significant attention among scholars. However, current multimodal models have reached a performance…