140 citations · 168 across the 4 of their papers we have counts for
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cs.CL2022★ 10 cited
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Yun Luo, Fang Guo, Zihan Liu +1
Cross-domain sentiment analysis aims to predict the sentiment of texts in the target domain using the model trained on the source domain to cope with the scarcity of labeled data.…
cs.CL2022★ 14 cited
Unsupervised Key Event Detection from Massive Text Corpora
Yunyi Zhang, Fang Guo, Jiaming Shen +1
Automated event detection from news corpora is a crucial task towards mining fast-evolving structured knowledge. As real-world events have different granularities, from the top-lev…
cs.CL2020★ 4 cited
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
Jiaxin Huang, Yu Meng, Fang Guo +2
Aspect-based sentiment analysis of review texts is of great value for understanding user feedback in a fine-grained manner. It has in general two sub-tasks: (i) extracting aspects…