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pro vyhledávání: '"HUANG, Hu"'
In modern digital environments, users frequently express opinions on contentious topics, providing a wealth of information on prevailing attitudes. The systematic analysis of these opinions offers valuable insights for decision-making in various sect
Externí odkaz:
http://arxiv.org/abs/2409.15690
Autor:
Niu, Fuqiang, Cheng, Zebang, Fu, Xianghua, Peng, Xiaojiang, Dai, Genan, Chen, Yin, Huang, Hu, Zhang, Bowen
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the proliferation of diverse multimodal social media content including text, and images multimodal st
Externí odkaz:
http://arxiv.org/abs/2409.00597
Graph classification is a pivotal challenge in machine learning, especially within the realm of graph-based data, given its importance in numerous real-world applications such as social network analysis, recommendation systems, and bioinformatics. De
Externí odkaz:
http://arxiv.org/abs/2407.01886
In many practical applications, it is often difficult and expensive to obtain large-scale labeled data to train state-of-the-art deep neural networks. Therefore, transferring the learned knowledge from a separate, labeled source domain to an unlabele
Externí odkaz:
http://arxiv.org/abs/2405.00749
Zero-shot stance detection (ZSSD) aims to detect stances toward unseen targets. Incorporating background knowledge to enhance transferability between seen and unseen targets constitutes the primary approach of ZSSD. However, these methods often strug
Externí odkaz:
http://arxiv.org/abs/2312.16054
Autor:
Zhang, Bowen, Fu, Xianghua, Ding, Daijun, Huang, Hu, Dai, Genan, Yin, Nan, Li, Yangyang, Jing, Liwen
Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, early deep neural networks, and pre-trained fine-tuning models. However
Externí odkaz:
http://arxiv.org/abs/2304.03087
Publikováno v:
In Wear 15 November 2024 556-557
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Journal of Manufacturing Processes 15 October 2024 127:77-97
Autor:
PAN, Huanquan, LIU, Jianqiao *, GONG, Bin, ZHU, Yiheng, BAI, Junhui, HUANG, Hu, FANG, Zhengbao, JING, Hongbin, LIU, Chen, KUANG, Tie, LAN, Yubo, WANG, Tianzhi, XIE, Tian, CHENG, Mingzhe, QIN, Bin, SHEN, Yujiang
Publikováno v:
In Petroleum Exploration and Development Online October 2024 51(5):1357-1366